A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm

Grey wolf optimization (GWO) is one of the recently proposed heuristic algorithms imitating the leadership hierarchy and hunting mechanism of grey wolves in nature. The aim of these algorithms is to perform global optimization. This paper presents a modified GWO algorithm based on complex-valued enc...

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Main Authors: Qifang Luo, Sen Zhang, Zhiming Li, Yongquan Zhou
Format: Article
Language:English
Published: MDPI AG 2015-12-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/9/1/4
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spelling doaj-4d0e0020d3fa447d9ca98a8d78e260112020-11-25T01:05:47ZengMDPI AGAlgorithms1999-48932015-12-0191410.3390/a9010004a9010004A Novel Complex-Valued Encoding Grey Wolf Optimization AlgorithmQifang Luo0Sen Zhang1Zhiming Li2Yongquan Zhou3College of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, ChinaGrey wolf optimization (GWO) is one of the recently proposed heuristic algorithms imitating the leadership hierarchy and hunting mechanism of grey wolves in nature. The aim of these algorithms is to perform global optimization. This paper presents a modified GWO algorithm based on complex-valued encoding; namely the complex-valued encoding grey wolf optimization (CGWO). We use CGWO to test 16 unconstrained benchmark functions with seven different scales and infinite impulse response (IIR) model identification. Compared to the real-valued GWO algorithm and other optimization algorithms; the CGWO performs significantly better in terms of accuracy; robustness; and convergence speed.http://www.mdpi.com/1999-4893/9/1/4complex-valued encodinggrey wolf optimizationdiploidtest functionsIIR model identification
collection DOAJ
language English
format Article
sources DOAJ
author Qifang Luo
Sen Zhang
Zhiming Li
Yongquan Zhou
spellingShingle Qifang Luo
Sen Zhang
Zhiming Li
Yongquan Zhou
A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm
Algorithms
complex-valued encoding
grey wolf optimization
diploid
test functions
IIR model identification
author_facet Qifang Luo
Sen Zhang
Zhiming Li
Yongquan Zhou
author_sort Qifang Luo
title A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm
title_short A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm
title_full A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm
title_fullStr A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm
title_full_unstemmed A Novel Complex-Valued Encoding Grey Wolf Optimization Algorithm
title_sort novel complex-valued encoding grey wolf optimization algorithm
publisher MDPI AG
series Algorithms
issn 1999-4893
publishDate 2015-12-01
description Grey wolf optimization (GWO) is one of the recently proposed heuristic algorithms imitating the leadership hierarchy and hunting mechanism of grey wolves in nature. The aim of these algorithms is to perform global optimization. This paper presents a modified GWO algorithm based on complex-valued encoding; namely the complex-valued encoding grey wolf optimization (CGWO). We use CGWO to test 16 unconstrained benchmark functions with seven different scales and infinite impulse response (IIR) model identification. Compared to the real-valued GWO algorithm and other optimization algorithms; the CGWO performs significantly better in terms of accuracy; robustness; and convergence speed.
topic complex-valued encoding
grey wolf optimization
diploid
test functions
IIR model identification
url http://www.mdpi.com/1999-4893/9/1/4
work_keys_str_mv AT qifangluo anovelcomplexvaluedencodinggreywolfoptimizationalgorithm
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AT yongquanzhou anovelcomplexvaluedencodinggreywolfoptimizationalgorithm
AT qifangluo novelcomplexvaluedencodinggreywolfoptimizationalgorithm
AT senzhang novelcomplexvaluedencodinggreywolfoptimizationalgorithm
AT zhimingli novelcomplexvaluedencodinggreywolfoptimizationalgorithm
AT yongquanzhou novelcomplexvaluedencodinggreywolfoptimizationalgorithm
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