Dynamic Optimization using Self-Adaptive Differential Evolution

被引：144
作者：
Brest, Janez [1 ]
Zamuda, Ales [1 ]
Boskovic, Borko [1 ]
Maucec, Mirjam Sepesy [1 ]
Zumer, Viljem [1 ]
机构：
[1] Univ Maribor, Fac Elect Engn & Comp Sci, SLO-2000 Maribor, Slovenia
来源：
2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5 | 2009年
关键词：
D O I：
10.1109/CEC.2009.4982976
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we investigate a Self-Adaptive Differential Evolution algorithm (jDE) where F and CR control parameters are self-adapted and a multi-population method with aging mechanism is used. The performance of the jDE algorithm is evaluated on the set of benchmark functions provided for the CEC 2009 special session on evolutionary computation in dynamic and uncertain environments.
引用
收藏
页码：415 / 422
页数：8
相关论文
共 22 条
[11]  
KANLIKILICER AE, 2007, GECCO 07, P2509
[12]  
Li C., 2008, Benchmark generator for CEC'2009 competition on dynamic optimization
[13]  
MENDES R, 2005, EV COMP IEEE C SEPT, V3, P2808
[14]  
Price K V., 2005, NAT COMP SER, P37, DOI [10.1007/3-540-31306-02, 10.1007/3-540-31306-0]
[15]  
QIN AK, EVOLUTIONAR IN PRESS, DOI DOI 10.1109/TEVC.2008.927706
[16]   Exploring dynamic self-adaptive populations in differential evolution [J].
Teo, J .
SOFT COMPUTING, 2006, 10 (08) :673-686
[17]  
Yang S., 2008, P 7 INT C SIM EV LEA
[18]   Population-Based Incremental Learning With Associative Memory for Dynamic Environments [J].
Yang, Shengxiang ;
Yao, Xin .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2008, 12 (05) :542-561
[19]   Self-adaptive Differential Evolution with Neighborhood Search [J].
Yang, Zhenyu ;
Tang, Ke ;
Yao, Xin .
2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8, 2008, :1110-1116
[20]  
Zaharie D., 2002, Proceedings of the 8th Intel. Conf. on Soft Computing, P62
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