Maximizing Diversity for Multimodal Optimization

Most multimodal optimization algorithms use the so called niching methods [1] in order to promote diversity during optimization, while others, like Artificial Immune Systems [2] try to find multiple solutions as its main objective. One of such algorithms, called dopt-aiNet [3], 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.