DocumentCode
1932323
Title
Peak Detection Method for Multimodal Function Optimization
Author
Hua, Qiang ; Wu, Bin
Volume
5
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
2484
Lastpage
2487
Abstract
A novel method is proposed called peak detection method for multimodal function optimization problem. In peak detection method, we use the idea of orthogonal intersection to generate the directions, and then detect peak in every one-dimension direction to judge whether there is a peak or not in locally multimodal domain. At last some experimental solutions show the effectiveness of the algorithm.
Keywords
evolutionary computation; optimisation; evolutionary computation; multimodal function optimization; orthogonal intersection; peak detection; Algorithm design and analysis; Computer science; Cybernetics; Diversity reception; Evolutionary computation; Genetic algorithms; Machine learning; Mathematics; Optimization methods; Random number generation; Evolution Strategies (ES); Multimodal function optimization; Peak detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370564
Filename
4370564
Link To Document