Structure of Particle Swarm Optimization (PSO)

Mohammad Ehteram (), Akram Seifi () and Fatemeh Barzegari Banadkooki ()
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Mohammad Ehteram: Semnan University, Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering
Akram Seifi: Vali-e-Asr University of Rafsanjan, Department of Water Science and Engineering, College of Agriculture
Fatemeh Barzegari Banadkooki: Payame Noor University, Agricultural Department

Chapter Chapter 2 in Application of Machine Learning Models in Agricultural and Meteorological Sciences, 2023, pp 23-32 from Springer

Abstract: Abstract PSO is an evolutionary algorithm for solving the optimization problem. This chapter explains the mathematical model and structure of PSO. The PSO is initialized with random positions and the velocity of random particles. Then, it searches for the global optimum solution by adjusting each particle’s moving vector based on each particle’s personal (cognitive) and global (social) best positions at each iteration. Also, this chapter reviews the application of PSO in different fields. In summary, many climatic and agricultural studies have proposed applying the PSO as an appropriate approach for solving related problems.

Keywords: Optimization algorithm; PSO; Complex problems; Artificial intelligence models (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-981-19-9733-4_2

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