Title: Enhanced differential evolution with information preserving selection strategy

Authors: Pravesh Kumar

Addresses: Department of Mathematics, Rajkiya Engineering College, Bijnor, India

Abstract: In the present paper, two modifications for differential evolution (DE) algorithm are proposed. The first modification is the proposal of a new selection technique called information preserving strategy (IPS), tries to preserve and utilise the important information about the search domain. The corresponding DE variant is called IpDE. The second modification is a new mutation strategy and called enhance DE algorithm (EDE). Furthermore, a new variant named IpEDE by combining EDE and IpEDE is also proposed. The performance of the proposed variants IpDE, EDE and IpEDE are validated on a set of test problems including standard test problems and the selected test problems of CEC-2008. The algorithms are compared with some of the prominent DE variants, and it is observed that the proposed modifications help in improving the performance of DE in terms of convergence rate and solution quality.

Keywords: differential evolution; DE; information preserving; IP; mutation; global optimisation.

DOI: 10.1504/IJAIP.2024.138564

International Journal of Advanced Intelligence Paradigms, 2024 Vol.27 No.3/4, pp.195 - 222

Received: 22 Aug 2017
Accepted: 10 Mar 2018
Published online: 13 May 2024 *

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