Parameter control in evolutionary algorithms
نویسندگان
چکیده
منابع مشابه
Parameter Control in Evolutionary Algorithms
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 this paper we: 1) revise the terminology, which is unclear and confusing, thereby providing a classification of such control mechanis...
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Evolutionary algorithms are general, randomized search heuristics that are influenced by many parameters. Though evolutionary algorithms are assumed to be robust, it is well-known that choosing the parameters appropriately is crucial for success and efficiency of the search. It has been shown in many experiments, that non-static parameter settings can be by far superior to static ones but theor...
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This paper focuses on several aspects to be considered when designing generic control strategies for Evolutionary Algorithms. We propose a method to encapsulate multiple parameters, reducing control to only one variable. This method allows to define generic control strategies regardless of the algorithm’s operators and of the problem to be solved. Three implementation-independent strategies are...
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Every evolutionary algorithm needs to address two important facets: exploration and exploitation of a search space. Evolutionary search must combine exploration of the new regions of the space with exploitation of the potential solutions already identified. The necessity of balancing exploration with exploitation needs to be intelligent. This paper introduces an entropy-driven parameter control...
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This paper presents a method to encapsulate parameters of evolutionary algorithms and to create an abstraction that simplifies the control and the understanding of the internal behavior of the algorithm. A fuzzy model is used to learn the effects of parameters over the search process. Then, high-level strategies can be defined to modify parameters automatically in order to achieve a scheduled l...
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ژورنال
عنوان ژورنال: IEEE Transactions on Evolutionary Computation
سال: 1999
ISSN: 1089-778X
DOI: 10.1109/4235.771166