Work

A comparative study of particle swarm optimization and genetic algorithm

Year: 2019

Type: article

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.

Source: Journal of Advanced Computer Science & Technology

DOI: 10.14419/jacst.v8i2.29401

Authors: Saman M. Almufti, Amar Yahya Zebari, Herman Khalid Omer

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W3131964064

FWCI: 1.71

Cites: 23

Cited by: 55

Related to: 10