Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Niching methods for genetic algorithms
Niching methods for genetic algorithms
An Investigation of Niche and Species Formation in Genetic Function Optimization
Proceedings of the 3rd International Conference on Genetic Algorithms
UEGO, an Abstract Niching Technique for Global Optimization
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Niching in evolution strategies
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
Niching in evolution strategies and its application to laser pulse shaping
EA'05 Proceedings of the 7th international conference on Artificial Evolution
On the role of population size and niche radius in fitness sharing
IEEE Transactions on Evolutionary Computation
Performance analysis of niching algorithms based on derandomized-ES variants
Proceedings of the 9th 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
Niche Radius Adaptation with Asymmetric Sharing
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
A Generator for Multimodal Test Functions with Multiple Global Optima
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Niching with derandomized evolution strategies in artificial and real-world landscapes
Natural Computing: an international journal
Adaptive niche radii and niche shapes approaches for niching with the cma-es
Evolutionary Computation
Niching without niching parameters: particle swarm optimization using a ring topology
IEEE Transactions on Evolutionary Computation
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Niching the CMA-ES via nearest-better clustering
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Towards directed open-ended search by a novelty guided evolution strategy
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Multimodal optimization by means of a topological species conservation algorithm
IEEE Transactions on Evolutionary Computation
A bi-criterion approach to multimodal optimization: self-adaptive approach
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
Niching foundations: basin identification on fixed-property generated landscapes
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Speciation in evolutionary algorithms: adaptive species discovery
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Multimodal optimization using a bi-objective evolutionary algorithm
Evolutionary Computation
Evolutionary multimodal optimization using the principle of locality
Information Sciences: an International Journal
Memetic fitness euclidean-distance particle swarm optimization for multi-modal optimization
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
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Following the introduction of two niching methods within Evolution Strategies (ES), which have been presented recently and have been successfully applied to theoretical high-dimensional test functions, as well as to a real-life high-dimensional physics problem, the purpose of this study is to address the so-called niche radius problem. A new concept of adaptive individual niche radius, introduced here for the first time, is applied to the ES Niching with Covariance Matrix Adaptation (CMA) method. The proposed method is described in detail, and then tested on high-dimensional theoretical test functions. It is shown to be robust and to achieve satisfying results.