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An adaptive resistance and stamina strategy-based dragonfly algorithm for solving engineering optimization problems

Yongliang Yuan (School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China and School of Mechanical Engineering, Dalian University of Technology, Dalian, China)
Shuo Wang (School of Mechanical Engineering, Dalian University of Technology, Dalian, China)
Liye Lv (School of Mechanical Engineering, Dalian University of Technology, Dalian, China and Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China)
Xueguan Song (School of Mechanical Engineering, Dalian University of Technology, Dalian, China)

Engineering Computations

ISSN: 0264-4401

Article publication date: 20 October 2020

Issue publication date: 30 June 2021

178

Abstract

Purpose

Highly non-linear optimization problems exist in many practical engineering applications. To deal with these problems, this study aims to propose an improved optimization algorithm, named, adaptive resistance and stamina strategy-based dragonfly algorithm (ARSSDA).

Design/methodology/approach

To speed up the convergence, ARSSDA applies an adaptive resistance and stamina strategy (ARSS) to conventional dragonfly algorithm so that the search step can be adjusted appropriately in each iteration. In ARSS, it includes the air resistance and physical stamina of dragonfly during a flight. These parameters can be updated in real time as the flight status of the dragonflies.

Findings

The performance of ARSSDA is verified by 30 benchmark functions of Congress on Evolutionary Computation 2014’s special session and 3 well-known constrained engineering problems. Results reveal that ARSSDA is a competitive algorithm for solving the optimization problems. Further, ARSSDA is used to search the optimal parameters for a bucket wheel reclaimer (BWR). The aim of the numerical experiment is to achieve the global optimal structure of the BWR by minimizing the energy consumption. Results indicate that ARSSDA generates an optimal structure of BWR and decreases the energy consumption by 22.428% compared with the initial design.

Originality/value

A novel search strategy is proposed to enhance the global exploratory capability and convergence speed. This paper provides an effective optimization algorithm for solving constrained optimization problems.

Keywords

Acknowledgements

The research was supported by the National Key Research and Development Project of China (Grant No. 2018YFB1700704 and 2018YFB1702502).

Compliance with ethical standards: The authors declare that they have no conflict of interests.

Citation

Yuan, Y., Wang, S., Lv, L. and Song, X. (2021), "An adaptive resistance and stamina strategy-based dragonfly algorithm for solving engineering optimization problems", Engineering Computations, Vol. 38 No. 5, pp. 2228-2251. https://doi.org/10.1108/EC-08-2019-0362

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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