Fuzzy sets and applications
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Parallel recombinative simulated annealing: a genetic algorithm
Parallel Computing
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Evolutionary Algorithms: The Role of Mutation and Recombination
Evolutionary Algorithms: The Role of Mutation and Recombination
Are Long Path Problems Hard for Genetic Algorithms?
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
On the Choice of the Offspring Population Size in Evolutionary Algorithms
Evolutionary Computation
Parameter Setting in Evolutionary Algorithms
Parameter Setting in Evolutionary Algorithms
Journal of Global Optimization
A generic approach to parameter control
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
Hi-index | 0.00 |
Parameter control is still one of the main challenges in evolutionary computation. This paper is concerned with controlling selection operators on-the-fly. We perform an experimental comparison of such methods on three groups of test functions and conclude that varying selection pressure during a GA run often yields performance benefits, and therefore is a recommended option for designers and users of evolutionary algorithms.