IEEE Transactions on Evolutionary Computation · 1999 · 1.9K citations · 89 references
ArchitectureMathematicsAlgorithmsEvolutionary TheoryOptimizationEvolutionary ComputationGenetic AlgorithmsParameter OptimizationPopulation-based SearchEvolutionary AlgorithmsEvolutionary SearchGenetic Algorithm Parameter TuningParameter ControlPopulation-based Optimization
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.
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Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49.3K citations
Optimization by Simulated Annealing
Scott Kirkpatrick, C. D. Gelatt, M.P. Vecchi · Science · 1983 · 44.6K citations