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By: Sourav Rajak, Sarnendu Paul, Srijan Paul, Suraj Yadav, and Kaushal Kishore
1 Student, Department of Mechanical Engineering, Asansol Engineering College, Asansol, West Bengal, India
2 Faculty, Department of Mechanical Engineering, Asansol Engineering College, Asansol, West Bengal, India
Fish schools and bird flocks are examples of natural phenomena that served as inspiration for the stochastic optimization method known as particle swarm optimization (PSO). According to the report, PSO has evolved since its introduction in 1995 because of researchers’ constant efforts to enhance and adapt the algorithm to meet different requirements and uses. Beginning with its origins and history, the paper covers several PSO-related subjects. With an emphasis on several topics, such as algorithm structure, parameter selection, topological structure, discrete PSO, parallel PSO, multi-objective optimization PSO, and engineering applications, the article examines the present status of PSO research and applications. This thorough examination demonstrates PSO’s adaptability and broad range of applications in several fields. All things considered, this work seems to be a useful tool for comprehending the theory, history and current state of PSO.
article swarm optimization, discrete swarm optimization, multi-objective optimization, PSO, Inertia Weight
Citation:
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