[1]LI Zhiyong,MA Liang,ZHANG Huizhen.Bat algorithm for the multi-objective 0-1 programming problem[J].CAAI Transactions on Intelligent Systems,2014,9(6):672-676.[doi:10.3969/j.issn.1673-4785.201310038]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
9
Number of periods:
2014 6
Page number:
672-676
Column:
学术论文—智能系统
Public date:
2014-12-25
- Title:
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Bat algorithm for the multi-objective 0-1 programming problem
- Author(s):
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LI Zhiyong; MA Liang; ZHANG Huizhen
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School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
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- Keywords:
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intelligent optimization; combinatorial optimization; multi-objective 0-1 programming problem; bat algorithm
- CLC:
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TP301.6;N945
- DOI:
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10.3969/j.issn.1673-4785.201310038
- Abstract:
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Obtaining more Pareto solutions is very important for the multi-objective problem. This paper presented an improved bat algorithm for solving the multi-objective 0-1 programming problem with linear constrains. The proposed algorithm, which is based on redefining the updating formulas of the velocity and position about every bat, is implemented through several tests. The algorithm is compared with a genetic algorithm, an ant colony optimization algorithm, a cellular ant colony algorithm and a particle swarm optimization algorithm. The comparisons showed that the proposed algorithm can get more Pareto solutions and be much more effective to solve such problems.