4.5 Article

An Improved Tunicate Swarm Algorithm with Best-random Mutation Strategy for Global Optimization Problems

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Advances in Sparrow Search Algorithm: A Comprehensive Survey

Farhad Soleimanian Gharehchopogh et al.

Summary: Mathematical programming and meta-heuristics are two types of optimization methods. Meta-heuristic algorithms mimic natural behaviors to identify optimal solutions and have benefits such as simplicity, few parameters, avoidance of local optimization, and flexibility. This paper reviews the sparrow search algorithm, a new and robust algorithm for optimization, covering its variants, improvement, hybridization, and optimization.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2023)

Review Computer Science, Interdisciplinary Applications

Advances in Spotted Hyena Optimizer: A Comprehensive Survey

Shafih Ghafori et al.

Summary: Metaheuristic algorithms, particularly the Spotted Hyena Optimizer (SHO) algorithm, have shown great effectiveness and success in solving continuous optimization problems. This algorithm, inspired by the life of spotted hyenas, strikes a good balance between exploration and exploitation stages, making it suitable for solving intricate and NP-hard problems across various fields. Its adaptability and flexibility have been demonstrated to surpass those of other metaheuristic algorithms in different studies and investigations.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2022)

Article Engineering, Multidisciplinary

Sequence-dependent time- and cost-oriented assembly line balancing problems: a combinatorial Benders' decomposition approach

Ahad Furugi

Summary: This research focuses on the cost-oriented assembly line balancing problem with sequence-dependent set-up times, proposing a mixed-integer linear programming model and a Benders' decomposition algorithm solution. Computational results show that the algorithm outperforms the traditional MILP model, performing better in task assignment and sequencing.

ENGINEERING OPTIMIZATION (2022)

Article Computer Science, Interdisciplinary Applications

An enhanced binary slime mould algorithm for solving the 0-1 knapsack problem

Benyamin Abdollahzadeh et al.

Summary: This paper introduces an enhanced binary SMA for solving the 0-1 knapsack problem at different scales. By using multiple transfer functions and bitwise and Gaussian mutation operators, along with penalty function and repair algorithm to handle infeasible solutions, the superiority of the proposed method is demonstrated.

ENGINEERING WITH COMPUTERS (2022)

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)

Article Computer Science, Artificial Intelligence

Chaotic vortex search algorithm: metaheuristic algorithm for feature selection

Farhad Soleimanian Gharehchopogh et al.

Summary: The Vortex Search Algorithm (VSA) has been enhanced with chaos theory to improve its performance, leading to better results in various experiments evaluating standard datasets and feature selection methods. Chaotic maps were found to enhance the algorithm's capability, particularly in feature subset selection.

EVOLUTIONARY INTELLIGENCE (2022)

Article Computer Science, Interdisciplinary Applications

Sine cosine grey wolf optimizer to solve engineering design problems

Shubham Gupta et al.

Summary: The present study aims to establish a comparatively better synergy between exploration and exploitation in the Sine Cosine Algorithm (SCA), by improving the exploration ability through integrating social and cognitive components, and maintaining a balance between exploration and exploitation through the Grey Wolf Optimizer (GWO). The proposed SC-GWO algorithm is evaluated on a set of benchmark problems and engineering test problems to demonstrate its superior ability in solving global optimization problems.

ENGINEERING WITH COMPUTERS (2021)

Article Computer Science, Artificial Intelligence

Discrete farmland fertility optimization algorithm with metropolis acceptance criterion for traveling salesman problems

Abdollahzadeh Benyamin et al.

Summary: The paper introduces a novel discrete version of the Farmland Fertility Algorithm, utilizing various mechanisms and operators to tackle the TSP problem, demonstrating its effectiveness and superiority through simulation results.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2021)

Article Materials Science, Paper & Wood

Optimization of Production Parameters in Oriented Strand Board (OSB) Manufacturing by Using Taguchi Method

Ahad Furugi et al.

Summary: The study focused on optimizing the most influential controlling parameters in the manufacturing of OSB panels using the Taguchi experimental design technique, effectively improving the mechanical properties such as MOE. The successful verification test confirmed the effectiveness of the Taguchi method in optimizing key parameters in the manufacturing process of OSB.

DRVNA INDUSTRIJA (2021)

Article Computer Science, Artificial Intelligence

An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm

Essam H. Houssein et al.

Summary: The paper presents the IChOA algorithm for breast cancer segmentation using thermography images and achieves valuable and accurate results in the optimization process.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Computer Science, Artificial Intelligence

An improved grey wolf optimizer for solving engineering problems

Mohammad H. Nadimi-Shahraki et al.

Summary: An Improved Grey Wolf Optimizer (I-GWO) is proposed in this article to tackle global optimization and engineering design problems by introducing a dimension learning-based hunting (DLH) search strategy. The IGWO algorithm addresses the lack of population diversity, imbalance between exploitation and exploration, and premature convergence seen in the GWO algorithm. Experimental results show that I-GWO is competitive against six other state-of-the-art metaheuristics, demonstrating its efficiency and applicability in engineering design problems.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Computer Science, Artificial Intelligence

A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation

Essam H. Houssein et al.

Summary: This paper introduces the use of the Black Widow Optimization (BWO) algorithm to find the best threshold configuration for multi-level image segmentation, achieving higher efficiency and reliability compared to other meta-heuristic algorithms. Experimental results demonstrate the superior performance of the BWO-based method, showing potential applications in the field of image processing.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Computer Science, Interdisciplinary Applications

B-MFO: A Binary Moth-Flame Optimization for Feature Selection from Medical Datasets

Mohammad H. Nadimi-Shahraki et al.

Summary: The paper proposed a binary moth-flame optimization (B-MFO) for selecting effective features from medical datasets, demonstrating superior performance compared to other comparative algorithms.

COMPUTERS (2021)

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)

Article Computer Science, Software Engineering

A farmland fertility algorithm for solving constrained engineering problems

Farhad Soleimanian Gharehchopogh et al.

Summary: The study proposed a modified farmland fertility algorithm that achieved good optimization results by modifying algorithm phases and update functions. Experiments showed that the algorithm excelled in high-speed convergence and minimized most standard functions and engineering constraints to optimal values in the shortest time.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2021)

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)

Article Computer Science, Artificial Intelligence

Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems

Essam H. Houssein et al.

Summary: The study introduces a hybrid algorithm SMA-AGDE, which combines SMA and AGDE to enhance global search and population diversity, achieving superior performance in multiple test cases.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Computer Science, Artificial Intelligence

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

Eneko Osaba et al.

Summary: This paper aims to provide a set of good practice recommendations for conducting studies on metaheuristics methods used for optimization, in order to ensure scientific rigor, value, and transparency. The authors introduce a step-by-step methodology covering every research phase, discussing often overlooked yet crucial aspects and useful recommendations.

SWARM AND EVOLUTIONARY COMPUTATION (2021)

Article Computer Science, Artificial Intelligence

A comprehensive survey on symbiotic organisms search algorithms

Farhad Soleimanian Gharehchopogh et al.

ARTIFICIAL INTELLIGENCE REVIEW (2020)

Article Multidisciplinary Sciences

Hybrid Harris hawks optimization with cuckoo search for drug design and discovery in chemoinformatics

Essam H. Houssein et al.

SCIENTIFIC REPORTS (2020)

Article Computer Science, Artificial Intelligence

MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems

Mohammad H. Nadimi-Shahraki et al.

APPLIED SOFT COMPUTING (2020)

Article Computer Science, Artificial Intelligence

Improved sine cosine algorithm with crossover scheme for global optimization

Shubham Gupta et al.

KNOWLEDGE-BASED SYSTEMS (2019)

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)

Article Engineering, Multidisciplinary

A balanced whale optimization algorithm for constrained engineering design problems

Huiling Chen et al.

APPLIED MATHEMATICAL MODELLING (2019)

Article Computer Science, Artificial Intelligence

CCSA: Conscious Neighborhood-based Crow Search Algorithm for Solving Global Optimization Problems

Hoda Zamani et al.

APPLIED SOFT COMPUTING (2019)

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)

Article Computer Science, Artificial Intelligence

A comprehensive survey: Whale Optimization Algorithm and its applications

Farhad Soleimanian Gharehchopogh et al.

SWARM AND EVOLUTIONARY COMPUTATION (2019)

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)

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)

Article Computer Science, Information Systems

A Randomly Guided Firefly Algorithm Based on Elitist Strategy and Its Applications

Chunfeng Wang et al.

IEEE ACCESS (2019)

Article Computer Science, Information Systems

An Improved Firefly Algorithm With Specific Probability and Its Engineering Application

Chunfeng Wang et al.

IEEE ACCESS (2019)

Article Computer Science, Information Systems

Dual-Search Artificial Bee Colony Algorithm for Engineering Optimization

Chen Dong et al.

IEEE ACCESS (2019)

Article Computer Science, Artificial Intelligence

A novel chaotic salp swarm algorithm for global optimization and feature selection

Gehad Ismail Sayed et al.

APPLIED INTELLIGENCE (2018)

Article Computer Science, Artificial Intelligence

Farmland fertility: A new metaheuristic algorithm for solving continuous optimization problems

Human Shayanfar et al.

APPLIED SOFT COMPUTING (2018)

Review Computer Science, Artificial Intelligence

Quantum rotation gate in quantum-inspired evolutionary algorithm: A review, analysis and comparison study

Hegen Xiong et al.

SWARM AND EVOLUTIONARY COMPUTATION (2018)

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)

Article Computer Science, Interdisciplinary Applications

Grasshopper Optimisation Algorithm: Theory and application

Shahrzad Saremi et al.

ADVANCES IN ENGINEERING SOFTWARE (2017)

Article Computer Science, Artificial Intelligence

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

Seyedali Mirjalili et al.

NEURAL COMPUTING & APPLICATIONS (2016)

Article Computer Science, Interdisciplinary Applications

The Whale Optimization Algorithm

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2016)

Article Computer Science, Artificial Intelligence

Galactic Swarm Optimization: A new global optimization metaheuristic inspired by galactic motion

Venkataraman Muthiah-Nakarajan et al.

APPLIED SOFT COMPUTING (2016)

Article Computer Science, Artificial Intelligence

SCA: A Sine Cosine Algorithm for solving optimization problems

Seyedali Mirjalili

KNOWLEDGE-BASED SYSTEMS (2016)

Article Engineering, Multidisciplinary

Optimum route selection in hole-making operations using a dynamic programming-based method

Maghsoud Solimanpur et al.

COGENT ENGINEERING (2016)

Article Computer Science, Artificial Intelligence

Modified Grey Wolf Optimizer for Global Engineering Optimization

Nitin Mittal et al.

APPLIED COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING (2016)

Article Computer Science, Artificial Intelligence

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

Seyedali Mirjalili

KNOWLEDGE-BASED SYSTEMS (2015)

Article Computer Science, Interdisciplinary Applications

Grey Wolf Optimizer

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)

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)

Article Computer Science, Interdisciplinary Applications

Symbiotic Organisms Search: A new metaheuristic optimization algorithm

Min-Yuan Cheng et al.

COMPUTERS & STRUCTURES (2014)

Article Computer Science, Artificial Intelligence

Spider Monkey Optimization algorithm for numerical optimization

Jagdish Chand Bansal et al.

MEMETIC COMPUTING (2014)

Article Computer Science, Artificial Intelligence

Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems

Ali Sadollah et al.

APPLIED SOFT COMPUTING (2013)

Article Computer Science, Interdisciplinary Applications

Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems

Amir Hossein Gandomi et al.

ENGINEERING WITH COMPUTERS (2013)

Article Computer Science, Artificial Intelligence

Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization

Hui Liu et al.

APPLIED SOFT COMPUTING (2010)

Article Computer Science, Information Systems

GSA: A Gravitational Search Algorithm

Esmat Rashedi et al.

INFORMATION SCIENCES (2009)

Article Computer Science, Artificial Intelligence

KEEL: a software tool to assess evolutionary algorithms for data mining problems

J. Alcala-Fdez et al.

SOFT COMPUTING (2009)

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)

Article Computer Science, Artificial Intelligence

Biogeography-Based Optimization

Dan Simon

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2008)

Article Computer Science, Information Systems

Differential evolution with dynamic stochastic selection for constrained optimization

Min Zhang et al.

INFORMATION SCIENCES (2008)

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)

Article Mathematics, Applied

An improved harmony search algorithm for solving optimization problems

M. Mahdavi et al.

APPLIED MATHEMATICS AND COMPUTATION (2007)

Article Computer Science, Interdisciplinary Applications

A heuristic particle swarm optimizer for optimization of pin connected structures

L. J. Li et al.

COMPUTERS & STRUCTURES (2007)

Article Automation & Control Systems

An effective co-evolutionary particle swarm optimization for constrained engineering design problems

Qie He et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2007)

Article Engineering, Multidisciplinary

Global optimization of nonlinear fractional programming problems in engineering design

JF Tsai

ENGINEERING OPTIMIZATION (2005)

Article Engineering, Multidisciplinary

A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice

KS Lee et al.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2005)

Article Computer Science, Artificial Intelligence

Society and civilization: An optimization algorithm based on the simulation of social behavior

T Ray et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2003)

Article Engineering, Mechanical

Adaptive Response Surface Method using inherited Latin Hypercube Design points

GG Wang

JOURNAL OF MECHANICAL DESIGN (2003)

Article Mathematics, Applied

On benchmarking functions for genetic algorithms

JG Digalakis et al.

INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS (2001)