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 third international conference on Genetic algorithms
Niching methods for genetic algorithms
Niching methods for genetic algorithms
Memetic algorithms: a short introduction
New ideas in optimization
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
UEGO, an Abstract Clustering Technique for Multimodal Global Optimization
Journal of Heuristics
A species conserving genetic algorithm for multimodal function optimization
Evolutionary Computation
Finite Markov Chain Analysis of Genetic Algorithms with Niching
Proceedings of the 5th International Conference on Genetic Algorithms
A Timing Analysis of Convergence to Fitness Sharing Equilibrium
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Niche identification techniques in multimodal genetic search with sharing scheme
Advances in Engineering Software
The nature of niching: genetic algorithms and the evolution of optimal, cooperative populations
The nature of niching: genetic algorithms and the evolution of optimal, cooperative populations
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
A multipopulation cultural algorithm using fuzzy clustering
Applied Soft Computing
Manipulator trajectory planning using a MOEA
Applied Soft Computing
Crowding clustering genetic algorithm for multimodal function optimization
Applied Soft Computing
Improving evolvable hardware by applying the speciation technique
Applied Soft Computing
Fitness sharing and niching methods revisited
IEEE Transactions on Evolutionary Computation
On the role of population size and niche radius in fitness sharing
IEEE Transactions on Evolutionary Computation
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This paper builds the normal model of fitness sharing with proportionate selection on real-valued functions, and derives the dynamic formula to describe the evolution process of the population with the fitness sharing. The normal modeling simulation is investigated on specific test functions, and experimental results illustrate that the normal model is able to describe exactly the dynamics of the fitness sharing EAs and is a good platform to study the behavior of the fitness sharing EAs with regard to niching radius. The experimental results of the normal modeling simulation and the fitness sharing EAs verify the dilemma in finding optimal niche radius to achieve both good niching convergence and niching efficiency, for which a hybrid scheme is proposed to carry out the niching task.