Multiple Trajectory Search for Single Objective Constrained Real-Parameter Optimization Problems

被引：0
|
作者：
Tseng, Lin-Yu [1 ]
Chen, Chun [2 ]
机构：
[1] Natl Chung Hsing Univ, Inst Networking & Multimedia, 250 Kuo Kuang Rd, Taichung 402, Taiwan
[2] Natl Chung Hsing Univ, Dept Comp Sci & Engn, Taichung, Taiwan
来源：
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2010年
关键词：
DIFFERENTIAL EVOLUTION ALGORITHM; STRATEGY;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, the Multiple Trajectory Search (MTS) is presented for single objective constrained real-parameter optimization problems. The MTS uses multiple agents to search the solution space concurrently. Each agent does an iterated region search using one of three candidate region search methods. By choosing a region search method that best fits the landscape of a solution's neighborhood, an agent may find its way to a local optimum or the global optimum. We applied the MTS to the eighteen benchmark problems designed for the CEC 2010 Competition on Single Objective Constrained Real-Parameter Optimization. The results are quite promising.
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页数：7
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