A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference

Authors: Rohit Salgotra, Pankaj Sharma, S. Sivanaga Raju, Amir H. Gandomi

Source: Archives of Computational Methods in Engineering. 31:1749-1822

Subject Terms: Test functions for optimization, MATLAB, Artificial intelligence, Metaheuristic, Heuristic, 02 engineering and technology, Metaheuristics, 7. Clean energy, Artificial Intelligence, Field (mathematics), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Optimization problem, Constraint Handling, Global Optimization, Multi-Objective Optimization, Multi-swarm optimization, Optimization Applications, Python (programming language), Mathematical optimization, Pure mathematics, Computer science, Programming language, Algorithm, Engineering optimization, Computational Theory and Mathematics, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Performance analysis of parallel master-slave Evolutionary strategies (μ,λ) model python implementation for CPU and GPGPU

Authors: Zubanovic, D., Hidic, A., Hajdarevic, A., Nosovic, N., Konjicija, S.

Source: 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014 37th International Convention on. :1609-1613 May, 2014

Relation: 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

Hybrid Sine Cosine Algorithm with Integrated Roulette Wheel Selection and Opposition-Based Learning for Engineering Optimization Problems

Authors: Pham Vu Hong Son, Nghiep Trinh Nguyen Dang, Van Nam Nguyen

Source: International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-25 (2023)

Subject Terms: Test functions for optimization, Artificial intelligence, Sine cosine algorithm, Stochastic optimization, Geometry, 02 engineering and technology, 7. Clean energy, Sine, Roulette wheel selection, Artificial Intelligence, Evolutionary algorithm, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Optimization problem, Constraint Handling, Trigonometric functions, Artificial immune system, Multi-Objective Optimization, Multi-swarm optimization, Optimization Applications, Mathematical optimization, Clonal selection algorithm, QA75.5-76.95, Computer science, Opposition-based learning, Algorithm, Roulette, Optimization algorithm, Engineering optimization, Computational Theory and Mathematics, Particle Swarm Optimization, Electronic computers. Computer science, Application of Genetic Programming in Machine Learning, Continuous optimization, Computer Science, Physical Sciences, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Access URL: https://doaj.org/article/29b0e9288af94d9db36440608cba7c60

Fast random opposition-based learning Aquila optimization algorithm

Authors: Sarath Gopi, Prabhujit Mohapatra

Source: Heliyon
Heliyon, Vol 10, Iss 4, Pp e26187-(2024)

Subject Terms: Artificial intelligence, Science (General), Economics, Hybrid Algorithms, Metaheuristic, Heuristic, FROBL, 7. Clean energy, Industrial and Manufacturing Engineering, Q1-390, Engineering, Computer security, Optimization problem, Wilcoxon signed-rank test, Multi-swarm optimization, Optimization Applications, Mathematical optimization, Statistics, Optimization algorithms, Rate of convergence, Social sciences (General), Algorithm, Computational Theory and Mathematics, Physical Sciences, Convergence (economics), Research Article, Vehicle Routing Problem and Variants, Test functions for optimization, Mann–Whitney U test, OBL, Artificial Intelligence, FOS: Mathematics, Firefly Algorithm, 14. Life underwater, Swarm Intelligence Optimization Algorithms, Key (lock), Fast random opposition-based learning, Economic growth, H1-99, Global Optimization, 15. Life on land, Meta-heuristic algorithm, Computer science, Opposition-based learning, Optimization algorithm, Continuous optimization, Computer Science, Nature-Inspired Algorithms, Multiobjective Optimization in Evolutionary Algorithms, Mathematics

Access URL: https://pubmed.ncbi.nlm.nih.gov/38390050
https://doaj.org/article/0df9d639a40b47ab8b5e328d949fa11c

Cioa: Circle-Inspired Optimization Algorithm, an Algorithm for Engineering Optimization

Authors: Otávio Augusto Peter de Souza, Letícia Fleck Fadel Miguel

Source: SoftwareX, Vol 19, Iss, Pp 101192-(2022)

Subject Terms: Test functions for optimization, 0211 other engineering and technologies, Geometry, Metaheuristic, 02 engineering and technology, Real-world problems, Structural optimization, QA76.75-76.765, Engineering, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Computer software, Swarm Intelligence Optimization Algorithms, Optimization problem, Metaheuristic algorithms, Constraint Handling, Civil and Structural Engineering, Trigonometric functions, Global Optimization, Geography, Multi-Objective Optimization, Multi-swarm optimization, Meta-optimization, Optimization Applications, Mathematical optimization, Topology Optimization in Structural Engineering, Derivative-free optimization, Computer science, Algorithm, Optimization algorithm, Engineering optimization, Computational Theory and Mathematics, Continuous optimization, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Circle-Inspired Optimization Algorithm, Benchmark (surveying), Multiobjective Optimization in Evolutionary Algorithms, Trigonometry, Mathematics, Geodesy

Access URL: https://doaj.org/article/60fc650231dd47cc81c37e26436b1a51

Local search for parallel optimization algorithms for high diminsional optimization problems

Authors: Nadia Abd-Alsabour

Source: MATEC Web of Conferences, Vol 210, p 04052 (2018)

Subject Terms: Test functions for optimization, paralell algorithms, Computer Networks and Communications, local search, Metaheuristic, 02 engineering and technology, Industrial and Manufacturing Engineering, Engineering, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Distributed Coordination in Online Robotics Research, Swarm Intelligence Optimization Algorithms, Optimization problem, 0204 chemical engineering, Gathering Algorithms, Global Optimization, Local search (optimization), Multi-swarm optimization, Meta-optimization, Optimization Applications, Mathematical optimization, Derivative-free optimization, high dimensional subset problems, Online Algorithms, Engineering (General). Civil engineering (General), Computer science, Process (computing), Algorithm, Optimization of Cutting and Packing Problems, Optimization algorithm, Operating system, Computer Science, Physical Sciences, optimization algorithms, TA1-2040, Mathematics

Access URL: https://www.matec-conferences.org/articles/matecconf/pdf/2018/69/matecconf_cscc2018_04052.pdf
https://doaj.org/article/6c11aceab4ef481289341d5bf8de9f2d
https://www.matec-conferences.org/articles/matecconf/ref/2018/69/matecconf_cscc2018_04052/matecconf_cscc2018_04052.html