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A comparative study of particle swarm optimization and genetic algorithm

  • M. Almufti S
  • Yahya Zebari A
  • Khalid Omer H
Journal of Advanced Computer Science & Technology (2019) 8(2) 40-45
DOI: 10.14419/jacst.v8i2.29401
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Abstract

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. Â

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M. Almufti, S., Yahya Zebari, A., & Khalid Omer, H. (2019). A comparative study of particle swarm optimization and genetic algorithm. Journal of Advanced Computer Science & Technology, 8(2), 40–45. https://doi.org/10.14419/jacst.v8i2.29401

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