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Vehicle power train optimization using multi-objective bird swarm algorithm
Wu, Dongmei1; Pun, Chi-Man2; Xu, Bin1; Gao, Hao1,2; Wu, Zhenghua1
2018-08-10
Source PublicationMultimedia Tools and Applications
Abstract

In this paper, a multi-objective bird swarm algorithm (MOBSA) is proposed to cope with multi-objective optimization problems. The algorithm is explored based on BSA which is an evolutionary algorithm suitable for single objective optimization. In this paper, non-dominated sorting approach is used to distinguish optimal solutions and parallel coordinates is applied to evaluate the distribution density of non-dominated solution and further update the external archive when it is full to overflowing, which ensure faster convergence and more widespread of Pareto front. Then, the MOBSA is adopted to optimize benchmark problems. The results demonstrate that MOBSA gets better performance compared with NSGA-II and MOPSO. Since a vehicle power train problem could be treated as a typical multi-objective optimization problem with constraints, with integration of constrained non-dominated solution, MOBSA is adopted to acquire optimal gear ratios and optimize vehicle power train. The results compared with other popular algorithm prove the proposed algorithm is more suitable for constrained multi-objective optimization problem in engineering field.

KeywordBird Swarm Algorithm Mobsa Multi-objective Optimization Constraint Vehicle Power Train Optimization
DOIhttps://doi.org/10.1007/s11042-018-6522-3
URLView the original
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Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Nanjing University of Posts and Telecommunications
2.University of Macau
Recommended Citation
GB/T 7714
Wu, Dongmei,Pun, Chi-Man,Xu, Bin,et al. Vehicle power train optimization using multi-objective bird swarm algorithm[J]. Multimedia Tools and Applications,2018.
APA Wu, Dongmei,Pun, Chi-Man,Xu, Bin,Gao, Hao,&Wu, Zhenghua.(2018).Vehicle power train optimization using multi-objective bird swarm algorithm.Multimedia Tools and Applications.
MLA Wu, Dongmei,et al."Vehicle power train optimization using multi-objective bird swarm algorithm".Multimedia Tools and Applications (2018).
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