Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
An Investigation of Niche and Species Formation in Genetic Function Optimization
Proceedings of the 3rd International Conference on Genetic Algorithms
On Obtaining Global Information in a Peer-to-Peer Fully Distributed Environment (Research Note)
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Disburdening the species conservation evolutionary algorithm of arguing with radii
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Clustering Using a Similarity Measure Based on Shared Near Neighbors
IEEE Transactions on Computers
A sequential niche technique for multimodal function optimization
Evolutionary Computation
Multimodal optimization by means of a topological species conservation algorithm
IEEE Transactions on Evolutionary Computation
Multiobjective evolutionary strategy for finding neighbourhoods of pareto-optimal solutions
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
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When using an evolutionary algorithm on an unknown problem, properties like the number of global/local optima must be guessed for properly picking an algorithm and its parameters. It is the aim of current paper to put forward an EA-based method for real-valued optimization to provide an estimate on the number of optima a function exhibits, or at least of the ones that are in reachfor a certain algorithm configuration, at low cost. We compare against direct clustering methods applied to different stages of evolved populations; interestingly, there is a turning point (in evaluations) after which our method is clearly better, although for very low budgets, the clustering methods have advantages. Consequently, it is argued in favor of further hybridizations.