Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Evolutionary Computation: The Fossil Record
Evolutionary Computation: The Fossil Record
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Proceedings of the Third European Conference on Advances in Artificial Life
Proceedings of the Third European Conference on Advances in Artificial Life
Proceedings of the 3rd International Conference on Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Proceedings of the 6th International Conference on Genetic Algorithms
Proceedings of the 6th International Conference on Genetic Algorithms
Orgy in the Computer: Multi-Parent Reproduction in Genetic Algorithms
Proceedings of the Third European Conference on Advances in Artificial Life
The Usefulness of Recombination
Proceedings of the Third European Conference on Advances in Artificial Life
Biases in the Crossover Landscape
Proceedings of the 3rd International Conference on Genetic Algorithms
Varying the Probability of Mutation in the Genetic Algorithm
Proceedings of the 3rd International Conference on Genetic Algorithms
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
The Diversification Role of Crossover in the Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
A Genetic Algorithm with Disruptive Selection
Proceedings of the 5th International Conference on Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
The Nature of Mutation in Genetic Algorithms
Proceedings of the 6th International Conference on Genetic Algorithms
Proceedings of the 6th International Conference on Genetic Algorithms
Towards an Optimal Mutation Probability for Genetic Algorithms
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Genetic algorithms with multi-parent recombination
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Multi-Parent's Niche: n-ary Crossovers on NK-Landscapes
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
On the "Explorative Power" of ES/EP-like Algorithms
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Evolutionary Computation
An overview of evolutionary algorithms for parameter optimization
Evolutionary Computation
Empirical investigation of multiparent recombination operators in evolution strategies
Evolutionary Computation
A diversity dilemma in evolutionary markets
Proceedings of the 13th International Conference on Electronic Commerce
Review of phenotypic diversity formulations for diagnostic tool
Applied Soft Computing
Exploration and exploitation in evolutionary algorithms: A survey
ACM Computing Surveys (CSUR)
International Journal of Metaheuristics
Adaptive generalized crowding for genetic algorithms
Information Sciences: an International Journal
Chaotic Evolution: fusion of chaotic ergodicity and evolutionary iteration for optimization
Natural Computing: an international journal
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Exploration and exploitation are the two cornerstones of problem solving by search. The common opinion about evolutionary algorithms is that they explore the search space by the (genetic) search operators, while exploitation is done by selection. This opinion is, however, questionable. In this paper we give a survey of different operators, review existing viewpoints on exploration and exploitation, and point out some discrepancies between and problems with current views.