Maximizing Diversity for Multimodal Optimization

06/10/2014

∙

by   Fabrício Olivetti de França, et al.

∙

0

∙

share

Most multimodal optimization algorithms use the so called niching methods mahfoud1995niching in order to promote diversity during optimization, while others, like Artificial Immune Systems de2010conceptual try to find multiple solutions as its main objective. One of such algorithms, called dopt-aiNet de2005artificial, introduced the Line Distance that measures the distance between two solutions regarding their basis of attraction. In this short abstract I propose the use of the Line Distance measure as the main objective-function in order to locate multiple optima at once in a population.