A new hybrid evolutionary algorithm with quasi-simplex technique

Publication Type:
Conference Proceeding
Citation:
2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010, 2010, 4 pp. 1811 - 1816
Issue Date:
2010-11-15
Metrics:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2010003107OK.pdf214 kB
Adobe PDF
This paper proposes a new parallel search algorithm using an evolutionary algorithm and quasi-simplex techniques (EAQST) for non-linear constrained function optimization. EAQST produces the offspring in parallel by using the Gaussian mutation, the Cauchy mutation and the quasi-simplex technique. Experimental studies on typical benchmark functions have shown that EAQST has very better performance than the compared algorithm. © 2010 IEEE.
Please use this identifier to cite or link to this item: