Hybridization of adaptive differential evolution with an expensive local search method
type: Item
instance of: scholarly article
title: Hybridization of adaptive differential evolution with an expensive local search method
DOI: 10.1155/2016/3260940
author: Rashida Adeeb Khanum
author: Muhammad Asif Jan
author: Nasser Mansoor Tairan
author: Wali Khan Mashwani
published in: Journal of Optimization
publication date: 2018-08-15T00:00:00Z
review text: Summary: Differential evolution (DE) is an effective and efficient heuristic for global optimization problems. However, it faces difficulty in exploiting the local region around the approximate solution. To handle this issue, local search (LS) techniques could be hybridized with DE to improve its local search capability. In this work, we hybridize an updated version of DE, adaptive differential evolution with optional external archive (JADE) with an expensive LS method, Broydon-Fletcher-Goldfarb-Shano (BFGS) for solving continuous unconstrained global optimization problems. The new hybrid algorithm is denoted by DEELS. To validate the performance of DEELS, we carried out extensive experiments on well known test problems suits, CEC2005 and CEC2010. The experimental results, in terms of function error values, success rate, and some other statistics, are compared with some of the state-of-the-art algorithms, self-adaptive control parameters in differential evolution (jDE), sequential DE enhanced by neighborhood search for large-scale global optimization (SDENS), and differential ant-stigmergy algorithm (DASA). These comparisons reveal that DEELS outperforms jDE and SDENS except DASA on the majority of test instances.
Mathematics Subject Classification ID: 90C26
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6918391
zbMATH Keywords: hybrid algorithm
zbMATH Keywords: adaptive differential evolution
Wikidata QID: Q59129512
describes a project that uses: JADE
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/3260940
OpenAlex ID: W2477353957
cites work: Introduction to evolutionary computing
cites work: Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
cites work: Q4226179
cites work: Advances in differential evolution
cites work: Large scale evolutionary optimization using cooperative coevolution
cites work: A numerical study of some modified differential evolution algorithms
cites work: Concurrent function evaluations in local and global optimization
description: scientific article; zbMATH DE number 6918391