Title :
Peak Detection Method for Multimodal Function Optimization
Author :
Hua, Qiang ; Wu, Bin
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;
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
DOI :
10.1109/ICMLC.2007.4370564