Rat Swarm Optimization Algorithm

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 9 in Application of Machine Learning Models in Agricultural and Meteorological Sciences, 2023, pp 73-76 from Springer

Abstract: Abstract This chapter reviews the application of rat swarm optimization algorithms (RSOA) for solving different optimization problems. RSOA is a robust and simple optimization algorithm. There are both male and female rats in a group of rats. A mathematical model of rats’ chasing and fighting behaviors is used to design an RSO algorithm and optimize the results. The results indicated that the RSOA was implemented for solving complex problems. The RSOA is a robust optimizer for training soft computing models. The high accuracy and fast convergence are the advantages of RSOA.

Keywords: Rat swarm optimization algorithm; Optimization algorithm; Soft computing models; Training algorithms (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-9733-4_9

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DOI: 10.1007/978-981-19-9733-4_9

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