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- Title
The application of the improved bats algorithm in multi-objective optimization.
- Authors
DING Wen-jing; HE Xing-shi; YANG Xin-She; SHENG Meng-long
- Abstract
Combined the SAGBA algorithm with the technology of solving the problem of multi-objective optimization, two kinds of improved multi-objective bat algorithm—the SAGBA algorithm based on dynamic weighted (DWASAGBA) and the SAGBA algorithm based on vector estimation(VESAGBA) are discussed. The simulation experiment results show that the solution set distribution is uniform, and can get a relatively accurate Pareto curve, so the SAGBA algorithm is effective in solving multi-objective optimization problems.
- Subjects
MATHEMATICAL optimization; GRAPH algorithms; WEIGHTED graphs; SET theory; PARETO analysis
- Publication
Basic Sciences Journal of Textile Universities / Fangzhi Gaoxiao Jichu Kexue Xuebao, 2013, Vol 26, Issue 4, p537
- ISSN
1006-8341
- Publication type
Article