Title: Modified Jaya algorithm with depth search and perturbation

Authors: Xiang Liu; Jun Tang

Addresses: Department of Architectural Engineering, Hunan Urban Construction College, Xiangtan, 411101, China ' Department of Construction Equipment Engineering, Hunan Urban Construction College, Xiangtan, 411101, China

Abstract: This paper presents a modified Jaya algorithm with depth search and perturbation to solve numerical optimisation problems. The new Jaya approach (called MDPJaya) consists of two improved strategies. First, the original search equation is modified by introducing a random solution. Second, a Cauchy perturbation based on the depth search is used to strengthen the global search ability. To validate the optimisation capability of MDPJaya, some famous benchmark optimisation problems are tested. Simulation results show MDPJaya can achieve better solutions than the standard Jaya algorithm.

Keywords: Jaya algorithm; modified search equation; Cauchy perturbation; depth search; numerical optimisation.

DOI: 10.1504/IJCSM.2023.131466

International Journal of Computing Science and Mathematics, 2023 Vol.17 No.3, pp.276 - 283

Received: 27 Mar 2022
Accepted: 04 May 2022
Published online: 13 Jun 2023 *

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