Title: Dung beetle inspired local search in artificial bee colony algorithm for unconstrained and constrained numerical optimisation

Authors: Nirmala Sharma; Harish Sharma; Ajay Sharma; Jagdish Chand Bansal

Addresses: Department of Computer Science and Engineering, Rajasthan Technical University, Kota, 3240101, India ' Department of Computer Science and Engineering, Rajasthan Technical University, Kota, 3240101, India ' Department of Electrical Engineering, Government Engineering College, Jhalawar, 326023, India ' Faculty of Mathematics and Computer Science, Department of Mathematics, South Asian University, New Delhi, 110021, India

Abstract: In recent times, swarm intelligence (SI) centred strategies are proving their efficacy in the arena of engineering optimisation problems. Artificial bee colony (ABC) algorithm is one of the efficient SI centred technique. To intensify exploitation concept of ABC, a local search strategy inspired by dung beetle orientation and foraging activities is developed and amalgamated with ABC. This developed local search strategy is termed as dung beetle local search (DBLS) strategy. The developed amended algorithm is titled as dung beetle inspired ABC (DBABC) algorithm. The developed DBABC is analysed using 32 unconstrained benchmark optimisation problems, 18 constrained benchmark optimisation problems, and 3 engineering design problems. The obtained outcomes validate the competitiveness of the proposed approach.

Keywords: local search; swarm intelligence; dung beetle; nature inspired; algorithms; ABC; artificial bee colony; natural computing; artificial intelligence; optimisation.

DOI: 10.1504/IJIEI.2020.112030

International Journal of Intelligent Engineering Informatics, 2020 Vol.8 No.4, pp.268 - 304

Received: 23 Feb 2020
Accepted: 31 May 2020

Published online: 16 Dec 2020 *

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