Parameter control in evolutionary algorithms
- 1 July 1999
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Evolutionary Computation
- Vol. 3 (2), 124-141
- https://doi.org/10.1109/4235.771166
Abstract
The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising areas of research in evolutionary computation: it has a potential of adjusting the algorithm to the problem while solving the problem. In the paper we: 1) revise the terminology, which is unclear and confusing, thereby providing a classification of such control mechanisms, and 2) survey various forms of control which have been studied by the evolutionary computation community in recent years. Our classification covers the major forms of parameter control in evolutionary computation and suggests some directions for further research.Keywords
This publication has 53 references indexed in Scilit:
- Towards an optimal mutation probability for genetic algorithmsPublished by Springer Nature ,2005
- Adaptive penalties for evolutionary graph coloringLecture Notes in Computer Science, 1998
- A decoder-based evolutionary algorithm for constrained parameter optimization problemsLecture Notes in Computer Science, 1998
- Evolutionary Consequences of Coevolving TargetsEvolutionary Computation, 1997
- Operator and parameter adaptation in genetic algorithmsSoft Computing, 1997
- An analysis of evolutionary algorithms based on neighbourhood and step sizesPublished by Springer Nature ,1997
- Analysis of Selection Algorithms: A Markov Chain ApproachEvolutionary Computation, 1996
- Coevolutionary ComputationArtificial Life, 1995
- Empirical Studies of the Genetic Algorithm with Noncoding SegmentsEvolutionary Computation, 1995
- Dynamic Parameter Encoding for genetic algorithmsMachine Learning, 1992