Real-coded Genetic Algorithms with Simulated Binary Crossover Operator.
نویسندگان
چکیده
منابع مشابه
Comparison of a Crossover Operator in Binary-coded Genetic Algorithms
Genetic algorithms (GAs) represent a method that mimics the process of natural evolution in effort to find good solutions. In that process, crossover operator plays an important role. To comprehend the genetic algorithms as a whole, it is necessary to understand the role of a crossover operator. Today, there are a number of different crossover operators that can be used in binary-coded GAs. How...
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Real-coded genet ic algorit hms (GAs) do not use any coding of the problem variab les, instead they work dir ectly with the variab les . The main difference in the implementation of real-coded GAs and binary-coded GAs is in their recombination op erators. Alt ho ugh a number of real-cod ed crossover implementations were suggested, most of them were developed wit h intuition and wit hout much an...
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Self-adaptation is an essential feature of natural evolution. However, in the context of function optimization, self-adaptation features of evolutionary search algorithms have been explored mainly with evolution strategy (ES) and evolutionary programming (EP). In this paper, we demonstrate the self-adaptive feature of real-parameter genetic algorithms (GAs) using a simulated binary crossover (S...
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ژورنال
عنوان ژورنال: Journal of Computer Science and Cybernetics
سال: 2012
ISSN: 1813-9663,1813-9663
DOI: 10.15625/1813-9663/22/2/1402