A Hybrid Parallel Evolutionary Algorithm Based on Elite-Subspace Strategy and Space Transformation Search
In this paper, we present a new Hybrid Parallel Evolutionary Algorithm. It is based on Elite-subspace Strategy and combined with Space Transformation Search strategy to solve systems of non-linear equations. Verified by numerical experiments, our algorithm present an outstanding universal characteristics and superior convergence as well. All of the solutions can be obtained within a short period of time.
Space Transformation Search (STS) Elite-subspace Strategy evolutionary algorithm optimization
Xiaojian Dong Song Yu Zhijian Wu Zhangxing Chen
State Key Lab of Software Engineering, Wuhan University,Wuhan 430072, P.R. China Department of Chemical and Petroleum Engineering, Schulich School of Engineering , University of Cal
国际会议
The Second International Conference on High Performance Computing and Applications(第二届高性能计算及应用国际会议)
上海
英文
139-145
2009-08-10(万方平台首次上网日期,不代表论文的发表时间)