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TitleOn solving complex optimization problems with objective decomposition
Creator
Date Issued2013
Source PublicationProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Pages2264-2269
AbstractThis paper addresses the complex optimization problem, of which the objective function consists of two parts: One part is differentiable and the other part is non-differentiable. Accordingly, we decompose the original objective function into several relatively simple sub-objective ones, which subsequently formulate as a multiobjective optimization problem (MOP). To solve this MOP, we propose a simulated water-stream algorithm (SWA) inspired by the natural phenomenon of water streams. The water streams with a hybrid process of downstream and penetration towards the basin is analogous to the process of finding the minimum solution in an optimization problem. The SWA featuring a combination of deterministic search and heuristic search generally converges much faster than the existing counterparts with a considerable accuracy enhancement. Experimental results show the efficacy of the proposed algorithm. © 2013 IEEE.
KeywordMulti modal Non-differentiable function Objective decomposition Simulated waterstream algorithm
DOI10.1109/SMC.2013.387
URLView source
Language英语English
Scopus ID2-s2.0-84893595171
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/6526
CollectionBeijing Normal-Hong Kong Baptist University
Affiliation
1.Department of Computer Science,Hong Kong Baptist University,Hong Kong
2.United International College,BNU-HKBU,China
First Author AffilicationBeijing Normal-Hong Kong Baptist University
Recommended Citation
GB/T 7714
Cheung,Yiu Ming,Gu,Fangqing. On solving complex optimization problems with objective decomposition[C], 2013: 2264-2269.
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