Antlion 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 10 in Application of Machine Learning Models in Agricultural and Meteorological Sciences, 2023, pp 77-82 from Springer

Abstract: Abstract Modelers may encounter multidimensional problems. Some of these problems may have constraints. Solving such problems requires robust models. This chapter explains the structure and mathematical model of the antlion optimization algorithm (ALO). Antlions dig holes in the sand. Their prey is trapped in holes. The ALO uses elitism to maintain the best solutions. The ALO can be applied to solve complex problems. The other optimization algorithms can be coupled with ALO to improve the quality of solutions. Also, the ALO can be used as a robust training algorithm for training soft computing models. The fast convergence and high accuracy are the advantages of ALO.

Keywords: Antlion optimization algorithm; Optimization problems; Hybrid algorithms; Soft computing models (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_10

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DOI: 10.1007/978-981-19-9733-4_10

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