Structure of Salp Swarm 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 7 in Application of Machine Learning Models in Agricultural and Meteorological Sciences, 2023, pp 61-65 from Springer

Abstract: Abstract This chapter explains the theory of the salp swarm algorithm (SSA). The SSA can be easily implemented. Also, adjusting SSA parameters is easy. The fast convergence and high accuracy are the advantages of SSA. The SSA can be coupled with optimization algorithms to solve complex problems. SSA is an example of a strong algorithm. This algorithm has few parameters. The best solution in the algorithm will guide the other solutions. The SSA can be coupled with soft computing models for finding their parameter values.

Keywords: Optimization algorithms; Salp swarm algorithm; Soft computing models; Hybrid algorithms (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-981-19-9733-4_7

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