☆ 4.7 Article

Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm

MATHEMATICS (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Automation & Control Systems

Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing

Jian-Jiao Ji et al.

Summary: Task allocation in mobile crowdsensing is a crucial issue, as existing systems do not consider the sudden departure of users, impacting the quality of long-term sensing tasks. To address this, a dynamic task allocation model is proposed, along with a novel indicator for evaluating the sensing ability of users. A Q-learning-based hyperheuristic evolutionary algorithm is suggested, showing superior performance compared to other algorithms.

IEEE TRANSACTIONS ON CYBERNETICS (2023)

添加到收藏夹

Article Chemistry, Analytical

Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications

Pavel Trojovsky et al.

Summary: This paper introduces a new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) to solve optimization problems in various scientific disciplines. By simulating the natural behavior of pelicans during hunting, the POA demonstrates high performance in approaching optimal solutions for unimodal functions and exploring the main optimal area for multimodal functions. Comparison with eight well-known metaheuristic algorithms confirms the competitiveness of POA in providing optimal solutions for optimization problems.

SENSORS (2022)

添加到收藏夹

Article Computer Science, Information Systems

Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm

Olaide Nathaniel Oyelade et al.

Summary: This study proposes a novel bio-inspired and population-based optimization algorithm named Ebola Optimization Search Algorithm (EOSA) based on the propagation mechanism of the Ebola virus disease. The algorithm outperforms popular metaheuristic algorithms such as Particle Swarm Optimization Algorithm (PSO), Genetic Algorithm (GA), and Artificial Bee Colony Algorithm (ABC) in terms of scalability, convergence, and sensitivity analyses. The algorithm is also successfully applied to the problem of selecting the best combination of convolutional neural network (CNN) hyperparameters in the image classification of digital mammography.

IEEE ACCESS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A novel swarm intelligence algorithm inspired by the grazing of sheep

Mahdi Esmailnia Kivi et al.

Summary: Efficiently solving optimization problems is a major challenge nowadays, leading to the motivation to use meta-heuristic algorithms due to the computational cost involved. The Sheep Flock Optimization Algorithm (SFOA) proposed in this paper mimics shepherd and sheep behaviors in a pasture, and has shown superior performance compared to state-of-the-art meta-heuristic algorithms and conventional methods in solving various optimization problems.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

The water optimization algorithm: a novel metaheuristic for solving optimization problems

Arman Daliri et al.

Summary: Metaheuristic algorithms are used to find solutions to NP-Hard problems through different optimization algorithms. The Water optimization algorithm (WAO) is a new Metaheuristic algorithm inspired by the properties of water molecules, aiming to find optimal solutions by connecting water molecules.

APPLIED INTELLIGENCE (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization

Hoda Zamani et al.

Summary: This paper presents a novel bio-inspired algorithm called SMO, which mimics the behaviors of starlings during their stunning murmuration, to solve complex engineering optimization problems. The SMO introduces dynamic multi-flock construction and three new search strategies, achieving competitive results in solution quality and convergence rate compared to other state-of-the-art algorithms.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer

Laith Abualigah et al.

Summary: The paper introduces a novel nature-inspired meta-heuristic optimizer, RSA, based on the hunting behavior of crocodiles. Through implementing two main steps of crocodile behavior, RSA shows unique search methods compared to existing algorithms, and achieves better results in various test functions and engineering problems.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

添加到收藏夹

Review Computer Science, Information Systems

A review of green shop scheduling problem

Mei Li et al.

Summary: The manufacturing industry plays a crucial role in a country's productivity level and economic development, but it also brings about environmental pollution and resource scarcity. Therefore, researching Green Shop Scheduling Problems (GSSPs) has become an important topic, aiming to reduce resource consumption and environmental pollution while achieving economic benefits through behavior control. In the context of Industry 4.0, GSSPs require re-examination and study.

INFORMATION SCIENCES (2022)

添加到收藏夹

Article Computer Science, Hardware & Architecture

Stock exchange trading optimization algorithm: a human-inspired method for global optimization

Hojjat Emami

Summary: The stock exchange trading optimization (SETO) algorithm is introduced in this paper, inspired by the behavior of traders and stock price changes in the stock market. Statistical results show that SETO provides competitive and promising performances compared with other algorithms in solving optimization problems of different dimensions.

JOURNAL OF SUPERCOMPUTING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Snake Optimizer: A novel meta-heuristic optimization algorithm

Fatma A. Hashim et al.

Summary: In recent years, various metaheuristic algorithms have been introduced in engineering and scientific fields to solve real-life optimization problems. This study proposes a novel nature-inspired metaheuristic algorithm called Snake Optimizer (SO), which imitates the mating behavior of snakes to tackle different optimization tasks. Experimental results demonstrate the effectiveness and efficiency of SO compared to other algorithms in terms of exploration-exploitation balance and convergence speed.

KNOWLEDGE-BASED SYSTEMS (2022)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Aphid-Ant Mutualism: A novel nature-inspired metaheuristic algorithm for solving optimization problems

N. Eslami et al.

Summary: The paper introduces a novel population-based optimization paradigm called Aphid-Ant Mutualism (AAM) inspired by the mutual relationship between aphids and ants, which effectively avoids premature convergence and converges to the global optimum. The AAM algorithm shows promising and competitive outcomes with more accurate solutions and faster convergence rates compared to other meta-heuristic algorithms.

MATHEMATICS AND COMPUTERS IN SIMULATION (2022)

添加到收藏夹

Article Mathematics

Circle Search Algorithm: A Geometry-Based Metaheuristic Optimization Algorithm

Mohammed H. Qais et al.

Summary: This paper presents a novel metaheuristic optimization algorithm called the circle search algorithm (CSA) that is inspired by the geometrical features of circles. The CSA is evaluated against other algorithms through independent experiments using a variety of functions and engineering problems, and the results show that CSA outperforms other algorithms in terms of convergence speed and robustness to high-dimensional problems. Therefore, CSA is a promising algorithm for solving various optimization problems.

MATHEMATICS (2022)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Gannet optimization algorithm : A new metaheuristic algorithm for solving engineering optimization problems

Jeng-Shyang Pan et al.

Summary: This paper introduces a new nature-inspired metaheuristic algorithm called the gannet optimization algorithm (GOA). By mathematizing the behaviors of gannets, GOA is able to explore and exploit in large-scale constrained optimization problems, providing better solutions. Experimental results show that GOA has shorter running time in high dimensions and is suitable for many constrained engineering design problems.

MATHEMATICS AND COMPUTERS IN SIMULATION (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

DMDE: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization

Mohammad H. Nadimi-Shahraki et al.

Summary: This study proposes an improved multi-trial differential evolution algorithm for solving non-decomposition large-scale global optimization problems, and introduces a diversity-maintained mechanism to prevent premature convergence. Through multiple experiments and tests, the DMDE algorithm demonstrates superior performance compared to competitor algorithms.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Prairie Dog Optimization Algorithm

Absalom E. Ezugwu et al.

Summary: This study proposes a new nature-inspired metaheuristic algorithm called Prairie Dog Optimization (PDO), which mimics the behavior of prairie dogs in their natural habitat. The algorithm achieves exploration and exploitation through the prairie dogs' foraging and burrow build activities, as well as their specific responses to different sounds. Experimental results demonstrate that PDO outperforms other well-known population-based metaheuristic algorithms and is effective in estimating optimal solutions for both benchmark and real-world engineering design problems.

NEURAL COMPUTING & APPLICATIONS (2022)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A survey of adaptive large neighborhood search algorithms and applications

Setyo Tri Windras Mara et al.

Summary: This article provides a survey on the popular metaheuristic framework, ALNS, discussing its basic concepts and synthesizing the state-of-the-art research through an analysis of scientific publications. It also offers discussions on future research directions.

COMPUTERS & OPERATIONS RESEARCH (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Beluga whale optimization: A novel nature-inspired metaheuristic algorithm

Changting Zhong et al.

Summary: This paper presents a novel swarm-based metaheuristic algorithm called beluga whale optimization (BWO), which is inspired by the behaviors of beluga whales, for solving optimization problems. BWO consists of three phases: exploration, exploitation, and whale fall, corresponding to pair swim, prey, and whale fall behaviors, respectively. The self-adaptive balance factor and probability of whale fall in BWO play significant roles in controlling the exploration and exploitation capabilities. Additionally, Levy flight is introduced to enhance the global convergence in the exploitation phase. The effectiveness of BWO is evaluated using 30 benchmark functions and compared with 15 other metaheuristic algorithms through qualitative, quantitative, and scalability analysis. The results show that BWO is a competitive algorithm for solving unimodal and multimodal optimization problems. Furthermore, BWO achieves the first overall rank in the scalability analysis of benchmark functions among the compared metaheuristic algorithms. Four engineering problems are also solved to demonstrate the merits and potential of BWO in solving complex real-world optimization problems. The source code of BWO is publicly available.

KNOWLEDGE-BASED SYSTEMS (2022)

添加到收藏夹

Article Multidisciplinary Sciences

The Archerfish Hunting Optimizer: A Novel Metaheuristic Algorithm for Global Optimization

Farouq Zitouni et al.

Summary: Global optimization aims to minimize objective functions in solving real-world problems, with metaheuristics being a nature-inspired and efficient class of optimization algorithms. The proposed archerfish hunting optimizer (AHO) algorithm shows significant competitiveness in robustness, convergence, and solution quality when compared to state-of-the-art methods through comprehensive experimental evaluations on various test functions and engineering design problems.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems

Fatma A. Hashim et al.

Summary: The paper introduces a new metaheuristic algorithm called Archimedes Optimization Algorithm (AOA), which is inspired by Archimedes' Principle in physics. Experimental results show that AOA outperforms other state-of-the-art metaheuristic algorithms in terms of convergence speed and exploration-exploitation balance, making it a high-performance optimization tool for solving complex problems.

APPLIED INTELLIGENCE (2021)

添加到收藏夹

Review Computer Science, Interdisciplinary Applications

A Survey of Learning-Based Intelligent Optimization Algorithms

Wei Li et al.

Summary: This paper comprehensively discusses learning-based intelligent optimization algorithms (LIOAs), including statistical analysis, classification of learning methods, applications in various scenarios, and engineering applications, as well as future insights and development directions.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Golden eagle optimizer: A nature-inspired metaheuristic algorithm

Abdolkarim Mohammadi-Balani et al.

Summary: This paper introduces a nature-inspired global optimization algorithm, GEO, based on the hunting behavior of golden eagles, and a multi-objective algorithm, MOGEO. Testing on benchmark functions and multi-objective benchmark functions show that GEO and MOGEO outperform other algorithms in optimization performance.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Red fox optimization algorithm

Dawid Polap et al.

Summary: Foxes are popular around the globe, known for their unique hunting methods and habits. They are active throughout the year, using various tricks to hunt efficiently and adapt to changing environments. The Red Fox Optimization Algorithm (RFO) is a mathematical model developed for optimization purposes, showing potential advantages in comparison to other meta-heuristic algorithms.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems

Farid MiarNaeimi et al.

Summary: This paper introduces a new meta-heuristic algorithm called Horse Herd Optimization Algorithm (HOA), inspired by horses' behavior, which shows excellent performance in high-dimensional optimization problems. By imitating the behavior features of horses at different ages, HOA has a large number of control parameters leading to efficient solving of complex problems.

KNOWLEDGE-BASED SYSTEMS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method

Iman Ahmadianfar et al.

Summary: The optimization field is plagued by metaphor-based pseudo-novel or fancy optimizers, with limited contributions to the optimization process. This study introduces a novel metaphor-free population-based optimization method called RUNge Kutta optimizer (RUN) based on mathematical foundations, showing promising results in mathematical tests and engineering problems. The RUN algorithm utilizes slope variations computed by the RK method for global optimization, demonstrating superior exploration and exploitation tendencies, fast convergence rate, and local optima avoidance.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Monarch butterfly optimization: A comprehensive review

Yanhong Feng et al.

Summary: Swarm intelligence involves the Monarch butterfly optimization (MBO) algorithm inspired by the migration behavior of monarch butterflies. Through migration and adjusting operations, individuals in MBO are updated to solve global optimization problems. This paper reviews the MBO algorithm, its modifications, applications, and suggests future research directions.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems

Benyamin Abdollahzadeh et al.

Summary: Metaheuristics, especially the African Vultures Optimization Algorithm (AVOA), play a crucial role in solving optimization problems, outperforming existing algorithms in standard benchmarks and engineering design problems. The statistical evaluation further confirms the significant superiority of AVOA.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

添加到收藏夹

Article Automation & Control Systems

QANA: Quantum-based avian navigation optimizer algorithm

Hoda Zamani et al.

Summary: The QANA algorithm effectively explores the search space by partitioning the population into multiple flocks using self-adaptive quantum orientation and quantum-based navigation. It enhances information sharing through a success-based population distribution policy and V-echelon communication topology.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A continuous-state cellular automata algorithm for global optimization

Juan Carlos Seck-Tuoh-Mora et al.

Summary: Cellular automata can generate complex behaviors based on simple local interactions, and this paper proposes the continuous-state cellular automata algorithm that utilizes different evolution rules to balance and maximize exploration and exploitation properties. The algorithm's efficiency is proven through various tests, showing competitiveness with state-of-the-art algorithms, and its source code is publicly available.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems

Malik Shehadeh Braik

Summary: The paper introduces a novel meta-heuristic algorithm called Chameleon Swarm Algorithm (CSA) for global numerical optimization problems, inspired by the foraging behavior of chameleons. The CSA was evaluated on benchmark test functions and outperformed other meta-heuristic algorithms in terms of optimization accuracy, demonstrating its applicability in solving real-world engineering design problems.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Past present future: a new human-based algorithm for stochastic optimization

Anima Naik et al.

Summary: PPF algorithm is based on the concept of improving an individual's future life through past experience and present work, utilizing a switching mechanism to track optimal position changes and accelerate convergence, while also preventing premature convergence. Experimental results confirm PPF algorithm's low computational complexity and fast convergence characteristics.

SOFT COMPUTING (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

The Colony Predation Algorithm

Jiaze Tu et al.

Summary: This paper introduces a new stochastic optimizer called the Colony Predation Algorithm (CPA) based on the predation behavior of animals in nature, utilizing mathematical mapping to improve algorithm performance by simulating strategies used by animal hunting groups. The proposed CPA demonstrates competitive performance in optimizing engineering problems and will provide publicly available source code after publication.

JOURNAL OF BIONIC ENGINEERING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Equilibrium optimizer: A novel optimization algorithm

Afshin Faramarzi et al.

KNOWLEDGE-BASED SYSTEMS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

From ants to whales: metaheuristics for all tastes

Fernando Fausto et al.

ARTIFICIAL INTELLIGENCE REVIEW (2020)

添加到收藏夹

Article Engineering, Electrical & Electronic

Hierarchical control technique-based harmony search optimization algorithm versus model predictive control for autonomous smart microgrids

Bishoy E. Sedhom et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor

Muhammad Sharif et al.

PATTERN RECOGNITION LETTERS (2020)

添加到收藏夹

Article Engineering, Electrical & Electronic

Reducing Energy of Approximate Feature Extraction in Heterogeneous Architectures for Sensor Inference via Energy-Aware Genetic Programming

Yinqi Tang et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm

Ali Wagdy Mohamed et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Political Optimizer: A novel socio-inspired meta-heuristic for global optimization

Qamar Askari et al.

KNOWLEDGE-BASED SYSTEMS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Marine Predators Algorithm: A nature-inspired metaheuristic

Afshin Faramarzi et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Novel Interactive Preference-Based Multiobjective Evolutionary Optimization for Bolt Supporting Networks

Yi-Nan Guo et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

添加到收藏夹

Article Automation & Control Systems

Levy flight distribution: A new metaheuristic algorithm for solving engineering optimization problems

Essam H. Houssein et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)

添加到收藏夹

Article Computer Science, Theory & Methods

Slime mould algorithm: A new method for stochastic optimization

Shimin Li et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing

K. Z. Gao et al.

SWARM AND EVOLUTIONARY COMPUTATION (2020)

添加到收藏夹

Article Mathematics

Elephant Herding Optimization: Variants, Hybrids, and Applications

Juan Li et al.

MATHEMATICS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Heap-based optimizer inspired by corporate rank hierarchy for global optimization

Qamar Askari et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

添加到收藏夹

Proceedings Paper Engineering, Industrial

Hyperparameter Optimization for Multi-Layer Data Input Using Genetic Algorithm

Ji-Hoon Han et al.

2020 IEEE 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA 2020) (2020)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Improved Cuckoo Search algorithmic variants for constrained nonlinear optimization

Alexandros Tsipianitis et al.

ADVANCES IN ENGINEERING SOFTWARE (2020)

添加到收藏夹

Article Computer Science, Information Systems

Gradient-based optimizer: A new metaheuristic optimization algorithm

Iman Ahmadianfar et al.

INFORMATION SCIENCES (2020)

添加到收藏夹

Article Computer Science, Information Systems

Improved Whale Optimization Algorithm Based on Nonlinear Adaptive Weight and Golden Sine Operator

J. Zhang et al.

IEEE ACCESS (2020)

添加到收藏夹

Proceedings Paper Materials Science, Multidisciplinary

Flower Pollination Algorithm for the optimization of stair casting parameter for the preparation of AMC

T. Adithiyaa et al.

MATERIALS TODAY-PROCEEDINGS (2020)

添加到收藏夹

Review Computer Science, Information Systems

A Review of Quantum-Inspired Metaheuristics: Going From Classical Computers to Real Quantum Computers

Oscar H. Montiel Ross

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Monarch butterfly optimization

Gai-Ge Wang et al.

NEURAL COMPUTING & APPLICATIONS (2019)

添加到收藏夹

Article Mathematics, Applied

An algorithm for the evaluation of the incomplete gamma function

Philip Greengard et al.

ADVANCES IN COMPUTATIONAL MATHEMATICS (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Differential Evolution: A survey of theoretical analyses

Karol R. Opara et al.

SWARM AND EVOLUTIONARY COMPUTATION (2019)

添加到收藏夹

Article Optics

Rainbow pattern analysis of a multilayered sphere for optical diagnostic of a heating droplet

Jianxi Zhou et al.

OPTICS COMMUNICATIONS (2019)

添加到收藏夹

Article Computer Science, Theory & Methods

Harris hawks optimization: Algorithm and applications

Ali Asghar Heidari et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Ensemble prediction-based dynamic robust multi-objective optimization methods

Yinan Guo et al.

SWARM AND EVOLUTIONARY COMPUTATION (2019)

添加到收藏夹

Article Automation & Control Systems

Poor and rich optimization algorithm: A new human-based and multi populations algorithm

Seyyed Hamid Samareh Moosavi et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)

添加到收藏夹

Article Computer Science, Theory & Methods

Henry gas solubility optimization: A novel physics-based algorithm

Fatma A. Hashim et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

添加到收藏夹

Article Thermodynamics

Change of evaporation rate of single monocomponent droplet with temperature using time-resolved phase rainbow refractometry

Yingchun Wu et al.

PROCEEDINGS OF THE COMBUSTION INSTITUTE (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Donkey and smuggler optimization algorithm: A collaborative working approach to path finding

Ahmed S. Shamsaldin et al.

JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems

Gai-Ge Wang

MEMETIC COMPUTING (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Wilcoxon Rank Sum Test Drift Detector

Roberto Souto Maior de Barros et al.

NEUROCOMPUTING (2018)

添加到收藏夹

Article Optics

Primary rainbow of high refractive index particle (1.547 < n < 2) has refraction ripples

Yingchun Wu et al.

OPTICS COMMUNICATIONS (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems

Gai Ge Wang et al.

International Journal of Bio-Inspired Computation (2018)

添加到收藏夹

Article Engineering, Multidisciplinary

A new optimization algorithm for solving complex constrained design optimization problems

R. Venkata Rao et al.

ENGINEERING OPTIMIZATION (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Golden Sine Algorithm: A Novel Math-Inspired Algorithm

Erkan Tanyildizi et al.

ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

Seyedali Mirjalili et al.

NEURAL COMPUTING & APPLICATIONS (2016)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

The Whale Optimization Algorithm

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2016)

添加到收藏夹

Review Computer Science, Artificial Intelligence

A comprehensive review: Krill Herd algorithm (KH) and its applications

Asaju La'aro Bolaji et al.

APPLIED SOFT COMPUTING (2016)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Water Evaporation Optimization: A novel physically inspired optimization algorithm

A. Kaveh et al.

COMPUTERS & STRUCTURES (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

SCA: A Sine Cosine Algorithm for solving optimization problems

Seyedali Mirjalili

KNOWLEDGE-BASED SYSTEMS (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Ions motion algorithm for solving optimization problems

Behzad Javidy et al.

APPLIED SOFT COMPUTING (2015)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Water wave optimization: A new nature-inspired metaheuristic

Yu-Jun Zheng

COMPUTERS & OPERATIONS RESEARCH (2015)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm

Seyedali Mirjalili

KNOWLEDGE-BASED SYSTEMS (2015)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Grey Wolf Optimizer

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Exchange market algorithm

Naser Ghorbani et al.

APPLIED SOFT COMPUTING (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

League Championship Algorithm (LCA): An algorithm for global optimization inspired by sport championships

Ali Husseinzadeh Kashan

APPLIED SOFT COMPUTING (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Cultural algorithms: a Tabu search approach for the optimization of engineering design problems

Mostafa Z. Ali et al.

SOFT COMPUTING (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Soccer league competition algorithm: A novel meta-heuristic algorithm for optimal design of water distribution networks

Naser Moosavian et al.

SWARM AND EVOLUTIONARY COMPUTATION (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Gases Brownian Motion Optimization: an Algorithm for Optimization (GBMO)

Marjan Abdechiri et al.

APPLIED SOFT COMPUTING (2013)

添加到收藏夹

Article Engineering, Multidisciplinary

The Automatic Dynamic Penalisation method (ADP) for handling constraints with genetic algorithms

Marco Montemurro et al.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2013)

添加到收藏夹

Article Computer Science, Information Systems

Black hole: A new heuristic optimization approach for data clustering

Abdolreza Hatamlou

INFORMATION SCIENCES (2013)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Bat algorithm for constrained optimization tasks

Amir Hossein Gandomi et al.

NEURAL COMPUTING & APPLICATIONS (2013)

添加到收藏夹

Article Optics

Optical caustics associated with the primary rainbow of oblate droplets: simulation and application in non-sphericity measurement

Haitao Yu et al.

OPTICS EXPRESS (2013)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Water cycle algorithm - A novel metaheuristic optimization method for solving constrained engineering optimization problems

Hadi Eskandar et al.

COMPUTERS & STRUCTURES (2012)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A new meta-heuristic method: Ray Optimization

A. Kaveh et al.

COMPUTERS & STRUCTURES (2012)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Mixed variable structural optimization using Firefly Algorithm

Amir Hossein Gandomi et al.

COMPUTERS & STRUCTURES (2011)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Hybrid charged system search and particle swarm optimization for engineering design problems

A. Kaveh et al.

ENGINEERING COMPUTATIONS (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

ACROA: Artificial Chemical Reaction Optimization Algorithm for global optimization

Bilal Alatas

EXPERT SYSTEMS WITH APPLICATIONS (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

SOLVING CONSTRAINED OPTIMIZATION PROBLEMS USING PROBABILITY COLLECTIVES AND A PENALTY FUNCTION APPROACH

Anand J. Kulkarni et al.

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (2011)

添加到收藏夹

Article Mechanics

A novel heuristic optimization method: charged system search

A. Kaveh et al.

ACTA MECHANICA (2010)

添加到收藏夹

Article Mathematics, Applied

A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search

R. Oftadeh et al.

COMPUTERS & MATHEMATICS WITH APPLICATIONS (2010)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems

Leandro dos Santos Coelho

EXPERT SYSTEMS WITH APPLICATIONS (2010)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

An effective differential evolution with level comparison for constrained engineering design

Ling Wang et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2010)

添加到收藏夹

Article Economics

The continuous Berth Allocation Problem: A Greedy Randomized Adaptive Search Solution

Der-Horng Lee et al.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2010)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Firefly algorithm, stochastic test functions and design optimisation

Xin-She Yang

INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION (2010)

添加到收藏夹

Article Computer Science, Information Systems

GSA: A Gravitational Search Algorithm

Esmat Rashedi et al.

INFORMATION SCIENCES (2009)

添加到收藏夹

Article Computer Science, Artificial Intelligence

The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm

Hamed Shah Hosseini

International Journal of Bio-Inspired Computation (2009)

添加到收藏夹

Article History & Philosophy Of Science

Descartes's experimental journey past the prism and through the invisible world to the rainbow

Jed Z. Buchwald

ANNALS OF SCIENCE (2008)

添加到收藏夹

Article Computer Science, Information Systems

Differential evolution with dynamic stochastic selection for constrained optimization

Min Zhang et al.

INFORMATION SCIENCES (2008)

添加到收藏夹

Article Computer Science, Theory & Methods

An empirical study about the usefulness of evolution strategies to solve constrained optimization problems

Efren Mezura-Montes et al.

INTERNATIONAL JOURNAL OF GENERAL SYSTEMS (2008)

添加到收藏夹

Article Engineering, Multidisciplinary

Multiple trial vectors in differential evolution for engineering design

E. Mezura-Montes et al.

ENGINEERING OPTIMIZATION (2007)

添加到收藏夹

Article Mathematics, Applied

A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization

Qie He et al.

APPLIED MATHEMATICS AND COMPUTATION (2007)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition

Esmaeil Atashpaz-Gargari et al.

2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS (2007)

添加到收藏夹

Article Engineering, Multidisciplinary

Mixed-variable engineering optimization based on evolutionary and social metaphors

George G. Dimopoulos

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2007)

添加到收藏夹

Article Engineering, Electrical & Electronic

Central force optimization: A new metaheuristic with applications in applied electromagnetics

R. A. Formato

PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER (2007)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A new optimization method: Big Bang Big Crunch

OK Erol et al.

ADVANCES IN ENGINEERING SOFTWARE (2006)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A simple multimembered evolution strategy to solve constrained optimization problems

E Mezura-Montes et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2005)

添加到收藏夹

Article Operations Research & Management Science

An electromagnetism-like mechanism for global optimization

SI Birbil et al.

JOURNAL OF GLOBAL OPTIMIZATION (2003)

添加到收藏夹

Article Mathematics, Applied

A survey of very large-scale neighborhood search techniques

RK Ahuja et al.

DISCRETE APPLIED MATHEMATICS (2002)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Constraint-handling in genetic algorithms through the use of dominance-based tournament selection

CAC Coello et al.

ADVANCED ENGINEERING INFORMATICS (2002)

添加到收藏夹

Article Engineering, Mechanical

Efficient mechanical system optimization using two-point diagonal quadratic approximation in the nonlinear intervening variable space

MS Kim et al.

KSME INTERNATIONAL JOURNAL (2001)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

A new heuristic optimization algorithm: Harmony search

ZW Geem et al.

SIMULATION (2001)

添加到收藏夹

Article Mathematics, Applied

On benchmarking functions for genetic algorithms

JG Digalakis et al.

INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS (2001)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.