Constrained Multiobjective Biogeography Optimization Algorithm
Multiobjective optimization involves minimizing or maximizing multiple objective functions subject to a set of constraints. In this study, a novel constrained multiobjective biogeography optimization algorithm (CMBOA) is proposed. It is the first biogeography optimization algorithm for constrained m...
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/232714 |
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doaj-7b97acc0c2f3426bbf9dbce12f9ce0232020-11-24T21:21:06ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/232714232714Constrained Multiobjective Biogeography Optimization AlgorithmHongwei Mo0Zhidan Xu1Lifang Xu2Zhou Wu3Haiping Ma4Automation College, Harbin Engineering University, Harbin 150001, ChinaInstitute of Basic Science, Harbin University of Commerce, Harbin 150028, ChinaEngineering Training Center, Harbin Engineering University, Harbin 150001, ChinaDepartment of Electrical, Electronic and Computer Engineering, University of Pretoria, Gauteng 0028, South AfricaDepartment of Electrical Engineering, Shaoxing University, Shaoxing, Zhejiang 312000, ChinaMultiobjective optimization involves minimizing or maximizing multiple objective functions subject to a set of constraints. In this study, a novel constrained multiobjective biogeography optimization algorithm (CMBOA) is proposed. It is the first biogeography optimization algorithm for constrained multiobjective optimization. In CMBOA, a disturbance migration operator is designed to generate diverse feasible individuals in order to promote the diversity of individuals on Pareto front. Infeasible individuals nearby feasible region are evolved to feasibility by recombining with their nearest nondominated feasible individuals. The convergence of CMBOA is proved by using probability theory. The performance of CMBOA is evaluated on a set of 6 benchmark problems and experimental results show that the CMBOA performs better than or similar to the classical NSGA-II and IS-MOEA.http://dx.doi.org/10.1155/2014/232714 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hongwei Mo Zhidan Xu Lifang Xu Zhou Wu Haiping Ma |
spellingShingle |
Hongwei Mo Zhidan Xu Lifang Xu Zhou Wu Haiping Ma Constrained Multiobjective Biogeography Optimization Algorithm The Scientific World Journal |
author_facet |
Hongwei Mo Zhidan Xu Lifang Xu Zhou Wu Haiping Ma |
author_sort |
Hongwei Mo |
title |
Constrained Multiobjective Biogeography Optimization Algorithm |
title_short |
Constrained Multiobjective Biogeography Optimization Algorithm |
title_full |
Constrained Multiobjective Biogeography Optimization Algorithm |
title_fullStr |
Constrained Multiobjective Biogeography Optimization Algorithm |
title_full_unstemmed |
Constrained Multiobjective Biogeography Optimization Algorithm |
title_sort |
constrained multiobjective biogeography optimization algorithm |
publisher |
Hindawi Limited |
series |
The Scientific World Journal |
issn |
2356-6140 1537-744X |
publishDate |
2014-01-01 |
description |
Multiobjective optimization involves minimizing or maximizing multiple objective functions subject to a set of constraints. In this study, a novel constrained multiobjective biogeography optimization algorithm (CMBOA) is proposed. It is the first biogeography optimization algorithm for constrained multiobjective optimization. In CMBOA, a disturbance migration operator is designed to generate diverse feasible individuals in order to promote the diversity of individuals on Pareto front. Infeasible individuals nearby feasible region are evolved to feasibility by recombining with their nearest nondominated feasible individuals. The convergence of CMBOA is proved by using probability theory. The performance of CMBOA is evaluated on a set of 6 benchmark problems and experimental results show that the CMBOA performs better than or similar to the classical NSGA-II and IS-MOEA. |
url |
http://dx.doi.org/10.1155/2014/232714 |
work_keys_str_mv |
AT hongweimo constrainedmultiobjectivebiogeographyoptimizationalgorithm AT zhidanxu constrainedmultiobjectivebiogeographyoptimizationalgorithm AT lifangxu constrainedmultiobjectivebiogeographyoptimizationalgorithm AT zhouwu constrainedmultiobjectivebiogeographyoptimizationalgorithm AT haipingma constrainedmultiobjectivebiogeographyoptimizationalgorithm |
_version_ |
1726001087834488832 |