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A comparative study of particle swarm optimization and genetic algorithm
2019
Journal of Advanced Computer Science & Technology
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This paper provides an introduction and a comparison of two widely used evolutionary computation algorithms: Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) based on the previous studies and researches. It describes Genetic Algorithm basic functionalities including various steps such as selection, crossover, and mutation.
doi:10.14419/jacst.v8i2.29401
fatcat:lfjnoatvs5epji5xl44wlqly6e