A study of permutation crossover operators on the traveling salesman problem
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Sugeno type controllers are universal controllers
Fuzzy Sets and Systems
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Relevance estimation and value calibration of evolutionary algorithm parameters
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Autonomous operator management for evolutionary algorithms
Journal of Heuristics
A generic approach to parameter control
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
An exploration-exploitation compromise-based adaptive operator selection for local search
Proceedings of the 14th annual conference on Genetic and evolutionary computation
A comparison of operator utility measures for on-line operator selection in local search
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
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This paper focuses on the design of control strategies forEvolutionary Algorithms. We propose a method to encapsulate multipleparameters, reducing control to only one criterion. This method allowsto define generic control strategies independently from both the algorithm'soperators and the problem to be solved. Three strategies areproposed and compared on a classical optimization problem, consideringtheir generality and performance.