A species conserving genetic algorithm for multimodal function optimization
Evolutionary Computation
Disburdening the species conservation evolutionary algorithm of arguing with radii
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Multimodal optimization by means of a topological species conservation algorithm
IEEE Transactions on Evolutionary Computation
Where Are the Niches? Dynamic Fitness Sharing
IEEE Transactions on Evolutionary Computation
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Radii-based niching evolutionary algorithms are criticized for the difficulty of the proper choice of the radius parameter. Detect-multimodal method enables the identification of niches without an explicit user-defined radius parameter. Although robust, the detect-multimodal method based algorithms are computationally expensive. We propose a novel algorithm called Attraction Basin Estimating Genetic Algorithm (ABE), which estimates the radius parameter based on the detect-multimodal method and uses the estimated radius to identify niches. Our experiments demonstrate that ABE has a similar ability to solve the multimodal optimization problem as Topological Species Conservation algorithm which is based on the detect-multimodal method, but much more efficiently.