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Bacterial colony foraging for multi-mode product colour planning
Chen HN(陈瀚宁); Zhu YL(朱云龙); Ma LB(马连博); Su WX(苏卫星)
Department信息服务与智能控制研究室
Source PublicationINTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
ISSN1758-0366
2015
Volume7Issue:4Pages:240-262
Indexed BySCI
WOS IDWOS:000360156400003
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China [61105067, 61174164, 61203161, 51205389] ; Natural Science Foundation of Liaoning Province [201102200, 201202226]
KeywordColour Planning Multi-working Modes Product Mmp Bacterial Foraging Cell-to-cell Communication Self-adaptive Foraging Strategy
AbstractIn this work, in order to assist designer in colour planning during product development, an efficient synthesised evaluation model is presented to evaluate colour-combination schemes of multi-working modes products (MMP). A novel bacterial colony foraging (BCF) algorithm is proposed to search for the optimal colour-combination schemes of MMP based on the evaluation model. The proposed BCF extend original bacterial foraging algorithm to adaptive and cooperative mode by combining bacterial chemotaxis, cell-to-cell communication, and a self-adaptive foraging strategy. The experiment presents an exhaustive comparison of the proposed BCF and two successful bio-inspired search techniques, namely the genetic algorithm (GA) and particle swarm optimisation (PSO), on three MMP tested cases of different nature, namely a hair-drier with two-coloured areas and two working modes, and two arm-type aerial work platforms both two-coloured products while with two and three working modes, respectively. Simulation results demonstrate that the proposed method is feasible and efficient.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS KeywordPARTICLE SWARM OPTIMIZATION ; IMAGE EVALUATION ; DESIGN ; SYSTEM ; COMBINATION ; ALGORITHM ; SELECTION ; HARMONY ; SUPPORT
WOS Research AreaComputer Science
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/16910
Collection信息服务与智能控制技术研究室
Corresponding AuthorChen HN(陈瀚宁)
Affiliation1.School of Computer Science and Software, Tianjin Polytechnic University, 300387, Tianjin, China
2.Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, 110016, Shenyang, China
Recommended Citation
GB/T 7714
Chen HN,Zhu YL,Ma LB,et al. Bacterial colony foraging for multi-mode product colour planning[J]. INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION,2015,7(4):240-262.
APA Chen HN,Zhu YL,Ma LB,&Su WX.(2015).Bacterial colony foraging for multi-mode product colour planning.INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION,7(4),240-262.
MLA Chen HN,et al."Bacterial colony foraging for multi-mode product colour planning".INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 7.4(2015):240-262.
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