Xue, JQ;Wu, YL;Shi, YH;Cheng, S
[Xue, Jingqian; Wu, Yali] Xian Univ Technol, Sch Automat & Informat Engn, Xian, Shaanxi, Peoples R China.
[Shi, Yuhui; Cheng, Shi] Xian Jiaotong Liverpool Univ, Dept Eletr & Elect Engn, Suzhou, Peoples R China.
ADVANCES IN SWARM INTELLIGENCE, ICSI 2012, PT I
Volume:7331 Issue:PART 1Pages:513-519
DOI:10.1007/978-3-642-30976-2_62
Publication Year:2012
Document Type:Conference Paper
Identifier:http://hdl.handle.net/20.500.12791/003539
Abstract
In this paper, a novel multi-objective optimization algorithm based on the brainstorming process is proposed(MOBSO). In addition to the operations used in the traditional multi-objective optimization algorithm, a clustering strategy is adopted in the objective space. Two typical mutation operators, Gaussian mutation and Cauchy mutation, are utilized in the generation process independently and their performances are compared. A group of multi-objective problems with different characteristics were tested to validate the effectiveness of the proposed algorithm. Experimental results show that MOBSO is a very promising algorithm for solving multi-objective optimization problems.
Keywords
Brain Strom Algorithm Multi-objective Optimization Clustering Strategy Mutation Operator
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