Dynamic and random differential evolution solving constrained optimisation problems
type: Item
instance of: scholarly article
title: Dynamic and random differential evolution solving constrained optimisation problems
zbMATH Open document ID: 1325.90092
DOI: 10.1504/IJCSM.2014.064055
author: Yanyan Li
published in: International Journal of Computing Science and Mathematics
publication date: 2015-06-24T00:00:00Z
review text: Summary: A dynamic and random differential evolution (DRDE) is designed in this paper to solve constrained optimisation problems (COPs). The dynamic means that the COP is transformed into a dynamic constrained optimisation problem (DCOP), then a DRDE is designed to solve the DCOP for solving the original COP. The key issue is to maintain a feasible population since a feasible population would vanish the difficulty in constraint handling. A deliberate setting of the environment can achieve the maintenance as much as possible. The `random' in the DRDE means that the scaling factor of the DDE is randomly created in a range to increase search domain so as to enhance the performance of the DRDE. The DRDE is tested by a kit of widely used constraint benchmark problems. The experimental results suggest it outperforms or performs similarly to other state-of-the-art algorithms referred to in this paper.
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C39
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6450034
zbMATH Keywords: constrained optimisation
zbMATH Keywords: dynamic optimisation
zbMATH Keywords: differential evolution
MaRDI profile type: Publication
full work available at URL: ijcsm.2014.064055
OpenAlex ID: W1971353992
description: scientific article