Structure of Dragonfly 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 8 in Application of Machine Learning Models in Agricultural and Meteorological Sciences, 2023, pp 67-72 from Springer

Abstract: Abstract This chapter explains the structure and mathematical model of the dragonfly optimization algorithm (DFOA). The dragonfly is regarded as a small predator in nature. However, during the exploration phase, dragonflies form small groups and fly back and forth to seek food and attract prey. The DFOA can be used for solving different optimization problems. The DFOA can be easily implemented. Also, the DFOA can be coupled with different optimization algorithms. The DFOA can be used for solving multiobjective optimization problems. The DFOA is a robust optimization algorithm for training soft computing models. This chapter indicated that the DFOA was successfully used in different fields.

Keywords: Dragonfly optimization algorithm; Hybrid optimization algorithms; Soft computing models; Multiobjective optimization problems (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_8

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DOI: 10.1007/978-981-19-9733-4_8

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