Species Separation by a Clustering Mean towards Multimodal Function Optimization

Stoean, C.; Preuss, M.; Stoean, R. (2009)

Article / Letter to editor

Present paper introduces a new evolutionary technique for multimodal real-valued optimization which uses a clustering method for separating the individuals within a population into species that are each connected to different optima from the search space. It is applied for a set of benchmark functions both for uni- and multimodal optimization and it proves to be very efficient as regards both the accuracy of the obtained results and the costs regarding the fitness evaluation calls that are spent.

• All authors: Stoean, C.; Preuss, M.; Stoean, R.
• Date: 2009-01-01
• Journal: Annals of the University of Craiova. Mathematics and Computer Science Series
• Volume: 36
• Issue: 2
• Pages: 53 - 62
• Link: http://inf.ucv.ro/~ami/index.php/ami/article/view/285/276