☆ 4.5 Article

A Double Adaptive Random Spare Reinforced Sine Cosine Algorithm

CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES (2023)

Related references

Note: Only part of the references are listed.

Article Computer Science, Interdisciplinary Applications

Boosting whale optimization with evolution strategy and Gaussian random walks: an image segmentation method

Abdelazim G. Hussien et al.

Summary: This study proposes an enhanced variant of the whale optimization algorithm (WOA) called VCSWOA, which combines components from other algorithms. The comprehensive testing and comparison with other algorithms demonstrate that VCSWOA outperforms its peers in terms of performance.

ENGINEERING WITH COMPUTERS (2023)

Add to Collection

Article Computer Science, Interdisciplinary Applications

SGOA: annealing-behaved grasshopper optimizer for global tasks

Caiyang Yu et al.

Summary: The SGOA, an improved grasshopper optimization algorithm combining simulated annealing mechanism with the original GOA, outperformed other algorithms in various fields and engineering problems. With promising results in benchmark function testing and engineering applications, SGOA proves to be effective in solving complex optimization problems.

ENGINEERING WITH COMPUTERS (2022)

Add to Collection

Article Biology

Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm

Jianfu Xia et al.

Summary: A new parameter optimization strategy based on DFSCA is proposed and integrated into KELM to establish DFSCA-KELM, improving optimization performance. Experimental results demonstrate the effectiveness of the model in medical diagnosis.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Add to Collection

Editorial Material Computer Science, Interdisciplinary Applications

An editorial perspective: new team, aims and scope and advances of EWCO

Jessica Zhang et al.

ENGINEERING WITH COMPUTERS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection

Jiao Hu et al.

Summary: The dispersed foraging slime mould algorithm (DFSMA) is proposed as an enhanced version of the slime mould algorithm (SMA) to address the limitations of SMA in solving multimodal and hybrid functions. Experimental results demonstrate that DFSMA outperforms other algorithms in terms of convergence speed and accuracy. Furthermore, the binary DFSMA (BDFSMA) is evaluated and found to have improved performance in classification accuracy and feature selection compared to other optimization algorithms.

KNOWLEDGE-BASED SYSTEMS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization

Kangjia Qiao et al.

Summary: The paper introduces a self-adaptive resources allocation-based differential evolution (SRADE) to balance diversity, convergence, constraints, and objective function in addressing constrained optimization problems. By dynamically assigning different mutation strategies to individuals based on their performance feedback, the method effectively improves search efficiency under limited resources by focusing on the most efficient strategy.

KNOWLEDGE-BASED SYSTEMS (2022)

Add to Collection

Article Computer Science, Information Systems

Apple leaf disease recognition method with improved residual network

Helong Yu et al.

Summary: This paper proposes an MSO-ResNet apple leaf disease recognition model based on ResNet50, which improves the identification accuracy and speed of the model by optimizing the model structure and parameters. The experimental results demonstrate that the proposed model achieves high precision and fast recognition in leaf disease identification.

MULTIMEDIA TOOLS AND APPLICATIONS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

An enhanced opposition-based Salp Swarm Algorithm for global optimization and engineering problems

Abdelazim G. Hussien

Summary: The study introduced a novel Salp Swarm Algorithm (OBSSA) that relies on Opposition-Based Learning strategy, which enhances the initialization and updating of the population in two stages, achieving competitive results with other algorithms.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

A self-adaptive Harris Hawks optimization algorithm with opposition-based learning and chaotic local search strategy for global optimization and feature selection

Abdelazim G. Hussien et al.

Summary: An improved version of HHO algorithm called IHHO is proposed in this paper, which enhances the performance of HHO by combining OBL, CLS, and self-adaptive technique. Experimental results show the superiority of IHHO in solving complex optimization problems and real-world problems.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2022)

Add to Collection

Article Biology

Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images

Hang Su et al.

Summary: This paper proposes an improved artificial bee colony algorithm (CCABC) and a multilevel thresholding image segmentation (MTIS) method based on CCABC. The performance of the CCABC algorithm is demonstrated through comparative experiments, and the improved image segmentation method is applied to the segmentation of COVID-19 X-ray images, achieving good results.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Add to Collection

Article Biology

Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine

Jiao Hu et al.

Summary: This study proposes a method for early and accurate assessment of COVID-19 severity by collecting arterial blood samples from patients and using an improved binary Harris hawk optimization algorithm combined with a kernel extreme learning machine. The experimental results show that indicators such as age, partial pressure of oxygen, oxygen saturation, sodium ion concentration, and lactic acid play a crucial role in the assessment of COVID-19 severity.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Add to Collection

Article Automation & Control Systems

Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm

Helong Yu et al.

Summary: This paper introduces the issues and shortcomings of Grey Wolf Optimizer (GWO) and proposes an improved version called Multi-Stage Grey Wolf Optimizer (MGWO). By dividing the search process into three stages and using different population updating strategies, MGWO improves optimization ability while maintaining a certain convergence speed. It has a better balance of exploration and exploitation, can avoid getting trapped in local optima, and obtains higher-quality solutions.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

INFO: An efficient optimization algorithm based on weighted mean of vectors

Iman Ahmadianfar et al.

Summary: This study presents the analysis and principle of an innovative optimizer called INFO, which utilizes the weighted mean method to optimize different problems. The results show that INFO outperforms other methods in terms of exploration and exploitation, and is capable of converging to satisfactory solutions in engineering problems.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

Add to Collection

Article Computer Science, Information Systems

An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems

Wu Deng et al.

Summary: This paper proposes an enhanced fast NSGA-II algorithm (ASDNSGA-II) for solving multi-modal multi-objective optimization problems. By using a special congestion strategy and adaptive crossover strategy, ASDNSGA-II improves the distribution and convergence of solutions. Experimental results show that ASDNSGA-II can effectively find the global Pareto solution set and improve the distribution and convergence of solutions.

INFORMATION SCIENCES (2022)

Add to Collection

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)

Add to Collection

Article Mathematics

Enhanced Remora Optimization Algorithm for Solving Constrained Engineering Optimization Problems

Shuang Wang et al.

Summary: EROA, an enhanced version of ROA, improves algorithm performance in high-dimensional complex problems by introducing techniques such as adaptive dynamic probability, Levy flight, and restart strategy. Tested on various benchmarks and real-world engineering problems, statistical analysis and experimental results demonstrate the efficiency of EROA.

MATHEMATICS (2022)

Add to Collection

Article Mathematics

An Improved Wild Horse Optimizer for Solving Optimization Problems

Rong Zheng et al.

Summary: This paper proposes an improved wild horse optimizer (IWHO) that incorporates random running strategy and competition for waterhole mechanism to enhance optimization capability, along with the utilization of dynamic inertia weight strategy to optimize the global solution. Experimental results demonstrate the competitiveness of IWHO in terms of convergence speed, precision, accuracy, and stability.

MATHEMATICS (2022)

Add to Collection

Article Automation & Control Systems

Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm

Gai-Ge Wang et al.

Summary: The job-shop scheduling problem is of great practical significance, but is difficult to solve due to many uncontrollable factors. The introduction of fuzzy processing time and completion time allows for a more comprehensive scheduling model, which can be optimized using a hybrid adaptive differential evolution algorithm. Experimental results show that this algorithm outperforms other state-of-the-art algorithms.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis

Yanan Zhang et al.

Summary: Bankruptcy prediction is crucial for accurate decision making in financial fields. This paper introduces a novel bankruptcy prediction model based on KELM, utilizing an upgraded version of FOA algorithm called LSEOFOA to enhance performance. Experimental results show that LSEOFOA provides a self-assured tradeoff between exploration and exploitation, outperforming other optimization methods.

NEUROCOMPUTING (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Differential evolution with rankings-based fitness function for constrained optimization problems

Jing Liang et al.

Summary: In this paper, a rankings-based fitness function method is designed for efficiently selecting and utilizing promising infeasible solutions in solving constrained optimization problems using evolutionary algorithms. The method dynamically adjusts weights to balance constraints and objectives, and generates promising offspring using three differential evolution strategies. Experimental results show the proposed method's superior performance compared to other state-of-the-art methods, especially in solving real-world problems.

APPLIED SOFT COMPUTING (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance

Jiaze Tu et al.

Summary: The study introduces an enhanced WOA method, EWOA, which combines a new communication mechanism and partial utilization of the BBO algorithm to improve the exploration ability, exploitation ability, and convergence speed of the algorithm.

KNOWLEDGE-BASED SYSTEMS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

Yutao Yang et al.

Summary: The research proposes a population-based optimization technique called Hunger Games Search (HGS), designed based on the hunger-driven activities and behavioral choices of animals, with a simple structure, special stability features, and competitive performance to efficiently address constrained and unconstrained problems.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

Jiao Hu et al.

Summary: This research introduces an enhanced variant of the GWO algorithm named GWOCMALOL, which outperforms other algorithms in terms of convergence speed and accuracy, showing better performance in solving complex problems.

KNOWLEDGE-BASED SYSTEMS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis

Weifeng Shan et al.

Summary: WEMFO algorithm enhances the search capability by adaptively adjusting the search strategy at different stages, making it more flexible between global search (diversification) and local search (intensification). Experimental results show apparent benefits in terms of convergence speed and solution accuracy, with good performance in engineering problems.

KNOWLEDGE-BASED SYSTEMS (2021)

Add to Collection

Article Plant Sciences

Multi-Threshold Image Segmentation of Maize Diseases Based on Elite Comprehensive Particle Swarm Optimization and Otsu

Chengcheng Chen et al.

Summary: Maize is a major global food crop, but diseases are a main limiting factor for its high yield. Through the use of non-local mean filtered two-dimensional histogram and improved particle swarm optimization method, better segmentation of maize foliar diseases was achieved in this study.

FRONTIERS IN PLANT SCIENCE (2021)

Add to Collection

Article Mathematical & Computational Biology

An Efficient Cancer Classification Model Using Microarray and High-Dimensional Data

Hanaa Fathi et al.

Summary: The paper presents a hybrid cancer classification approach using Pearson's correlation coefficient, Decision Tree classifier, and Grid Search CV machine learning techniques to handle gene expression profiling classification, improving classification accuracy and reducing the number of genes required.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2021)

Add to Collection

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)

Add to Collection

Article Engineering, Multidisciplinary

Stability of salp swarm algorithm with random replacement and double adaptive weighting

Hao Ren et al.

Summary: The enhanced salp swarm algorithm proposed in this paper combines random replacement and double adaptive weight strategies, accelerating convergence speed and enhancing exploitation capability.

APPLIED MATHEMATICAL MODELLING (2021)

Add to Collection

Article Biology

Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine

Beibei Shi et al.

Summary: The study investigates the diagnosis of COVID-19 using biochemical indexes with the intelligent method ECPA-KELM, which combines the ECPA algorithm with KELM to enhance discrimination and classification of the severity of COVID-19. The ECPA algorithm integrates various optimizers to improve its capacity in diagnosing COVID-19, demonstrating enhanced predictive properties and stability.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Memetic Harris Hawks Optimization: Developments and perspectives on project scheduling and QoS-aware web service composition

ChenYang Li et al.

Summary: In this study, an enhanced hybrid algorithm EESHHO was proposed to improve the performance and robustness of traditional HHO through elite evolutionary strategy (EES). Experimental results showed that EESHHO outperformed other mainstream algorithms in terms of convergence speed and optimization performance.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems

Sheng-Hao Wu et al.

Summary: The proposed SAFE method is a novel approach to efficiently solve expensive optimization problems by using a set of evaluation methods with different accuracy scales. Experimental results demonstrate that the method achieves better solution quality compared to baseline and state-of-the-art algorithms.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem

Ruyi Dong et al.

Summary: The Kernel Search Optimization (KSO) algorithm was proposed to simplify the optimization process by transforming the optimization of nonlinear functions into a linear process. By adopting a local search of the hill-climbing algorithm and simplifying the calculation of kernel parameters, the improved algorithm outperformed the original KSO and some well-known algorithms in terms of accuracy and running time.

KNOWLEDGE-BASED SYSTEMS (2021)

Add to Collection

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)

Add to Collection

Article Computer Science, Artificial Intelligence

Lightning search algorithm: a comprehensive survey

Laith Abualigah et al.

Summary: The Lightning Search Algorithm (LSA) is a novel meta-heuristic optimization method introduced in 2015 for solving constraint optimization problems. It focuses on improving the effectiveness of the fitness function by finding minimum or maximum costs. The applications of LSA span across benchmark functions, machine learning, network applications, engineering, and more.

APPLIED INTELLIGENCE (2021)

Add to Collection

Article Engineering, Multidisciplinary

New binary whale optimization algorithm for discrete optimization problems

Abdelazim G. Hussien et al.

ENGINEERING OPTIMIZATION (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

An efficient double adaptive random spare reinforced whale optimization algorithm

Huiling Chen et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Sine-cosine crow search algorithm: theory and applications

Soheyl Khalilpourazari et al.

NEURAL COMPUTING & APPLICATIONS (2020)

Add to Collection

Article Mathematics, Applied

A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems

Huiling Chen et al.

APPLIED MATHEMATICS AND COMPUTATION (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Power flow based hydro-thermal-wind scheduling of hybrid power system using sine cosine algorithm

Koustav Dasgupta et al.

ELECTRIC POWER SYSTEMS RESEARCH (2020)

Add to Collection

Article Thermodynamics

Orthogonal Nelder-Mead moth flame method for parameters identification of photovoltaic modules

Hongliang Zhang et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies

Hao Chen et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Add to Collection

Review Computer Science, Artificial Intelligence

A comprehensive review of moth-flame optimisation: variants, hybrids, and applications

Abdelazim G. Hussien et al.

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE (2020)

Add to Collection

Article Thermodynamics

Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models

Shan Jiao et al.

ENERGY (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Performance Prediction Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy and Extreme Learning Machine

Huimin Zhao et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Add to Collection

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)

Add to Collection

Article Engineering, Electrical & Electronic

An Improved Quantum-Inspired Differential Evolution Algorithm for Deep Belief Network

Wu Deng et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Add to Collection

Article Computer Science, Information Systems

Analysis of multiobjective evolutionary algorithms on the biobjective traveling salesman problem (1,2)

Xinsheng Lai et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2020)

Add to Collection

Article Mathematics

Binary Whale Optimization Algorithm for Dimensionality Reduction

Abdelazim G. Hussien et al.

MATHEMATICS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Nature-Inspired Optimization Algorithms for Text Document Clustering-A Comprehensive Analysis

Laith Abualigah et al.

ALGORITHMS (2020)

Add to Collection

Article Computer Science, Information Systems

Crow Search Algorithm: Theory, Recent Advances, and Applications

Abdelazim G. Hussien et al.

IEEE ACCESS (2020)

Add to Collection

Article Computer Science, Information Systems

Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer

Yan Wei et al.

IEEE ACCESS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Monarch butterfly optimization

Gai-Ge Wang et al.

NEURAL COMPUTING & APPLICATIONS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Multi-objective sine-cosine algorithm (MO-SCA) for multi-objective engineering design problems

Mohamed A. Tawhid et al.

NEURAL COMPUTING & APPLICATIONS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Improved sine cosine algorithm with crossover scheme for global optimization

Shubham Gupta et al.

KNOWLEDGE-BASED SYSTEMS (2019)

Add to Collection

Article Automation & Control Systems

Optimization ACE inhibition activity in hypertension based on random vector functional link and sine-cosine algorithm

Mohammed Abd Elaziz et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

A hybrid self-adaptive sine cosine algorithm with opposition based learning

Shubham Gupta et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Solving high-dimensional global optimization problems using an improved sine cosine algorithm

Wen Long et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Add to Collection

Article Multidisciplinary Sciences

Online Visual Tracking of Weighted Multiple Instance Learning via Neutrosophic Similarity-Based Objectness Estimation

Keli Hu et al.

SYMMETRY-BASEL (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Riesz fractional derivative Elite-guided sine cosine algorithm

Wenyan Guo et al.

APPLIED SOFT COMPUTING (2019)

Add to Collection

Article Thermodynamics

An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models

Huiling Chen et al.

ENERGY CONVERSION AND MANAGEMENT (2019)

Add to Collection

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)

Add to Collection

Article Computer Science, Artificial Intelligence

Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy

Zhennao Cai et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

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

Gai-Ge Wang

MEMETIC COMPUTING (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Solution of short-term hydrothermal scheduling using sine cosine algorithm

Sujoy Das et al.

SOFT COMPUTING (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking

Hathiram Nenavath et al.

APPLIED SOFT COMPUTING (2018)

Add to Collection

Article Computer Science, Hardware & Architecture

Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain

Deepak Ranjan Nayak et al.

COMPUTERS & ELECTRICAL ENGINEERING (2018)

Add to Collection

Article Thermodynamics

A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm

Jianzhou Wang et al.

ENERGY CONVERSION AND MANAGEMENT (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment

Mohamed Issa et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Parameter optimization of support vector regression based on sine cosine algorithm

Sai Li et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

Add to Collection

Article Computer Science, Information Systems

A hybrid particle swarm optimizer with sine cosine acceleration coefficients

Ke Chen et al.

INFORMATION SCIENCES (2018)

Add to Collection

Article Computer Science, Information Systems

Context based image segmentation using antlion optimization and sine cosine algorithm

Diego Oliva et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2018)

Add to Collection

Article Mathematical & Computational Biology

A Modified Sine-Cosine Algorithm Based on Neighborhood Search and Greedy Levy Mutation

Chiwen Qu et al.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

A new metaheuristic optimisation algorithm motivated by elephant herding behaviour

Gai Ge Wang et al.

International Journal of Bio-Inspired Computation (2017)

Add to Collection

Article Automation & Control Systems

Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction

Mingjing Wang et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

An improved Opposition-Based Sine Cosine Algorithm for global optimization

Mohamed Abd Elaziz et al.

EXPERT SYSTEMS WITH APPLICATIONS (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

A novel object tracking algorithm by fusing color and depth information based on single valued neutrosophic cross-entropy

Keli Hu et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

Sine-cosine algorithm for feature selection with elitism strategy and new updating mechanism

R. Sindhu et al.

NEURAL COMPUTING & APPLICATIONS (2017)

Add to Collection

Article Computer Science, Theory & Methods

Symbiotic Organism Search optimization based task scheduling in cloud computing environment

Mohammed Abdullahi et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2016)

Add to Collection

Article Computer Science, Artificial Intelligence

SCA: A Sine Cosine Algorithm for solving optimization problems

Seyedali Mirjalili

KNOWLEDGE-BASED SYSTEMS (2016)

Add to Collection

Article Computer Science, Hardware & Architecture

A two-stage feature selection method with its application

Xuehua Zhao et al.

COMPUTERS & ELECTRICAL ENGINEERING (2015)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Grey Wolf Optimizer

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)

Add to Collection

Article Computer Science, Artificial Intelligence

Binary-coded extremal optimization for the design of PID controllers

Guo-Qiang Zeng et al.

NEUROCOMPUTING (2014)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Bat algorithm: a novel approach for global engineering optimization

Xin-She Yang et al.

ENGINEERING COMPUTATIONS (2012)

Add to Collection

Article Operations Research & Management Science

A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

Dervis Karaboga et al.

JOURNAL OF GLOBAL OPTIMIZATION (2007)

Add to Collection

Review Computer Science, Artificial Intelligence

Ant colony optimization -: Artificial ants as a computational intelligence technique

Marco Dorigo et al.

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2006)

Add to Collection

© Peeref 2019-2024. All rights reserved.