Structure of Shark 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 3 in Application of Machine Learning Models in Agricultural and Meteorological Sciences, 2023, pp 33-42 from Springer

Abstract: Abstract This chapter studies the structure of the shark optimization algorithm (SSO). First, the applications of the shark algorithm are reviewed in different fields. The SSO can identify optimal solutions by balancing exploitation and exploration phases. The SSO benefits from low computation costs and fast convergence properties. The rotational movement of sharks is used to escape from the local optimums. It is suggested to explore SSO’s capability for many additional applications, such as crop planning, crop pattern optimization, irrigation water allocation, and crop yield.

Keywords: Shark optimization algorithm; Rotational movement; Optimization problem; Decision variable (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_3

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DOI: 10.1007/978-981-19-9733-4_3

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