Comparison of a crossover operator in binary-coded genetic algorithms

摘要: Genetic algorithms (GAs) represent a method that mimics the process of natural evolution in effort to find good solutions. In process, crossover operator plays an important role. To comprehend genetic as whole, it is necessary understand role operator. Today, there are number different operators can be used binary-coded GAs. How decide what use when solving problem? When dealing with classes problems, will show various levels efficiency those problems. A test functions difficulty has been selected polygon for determine performance operators. The aim this paper present larger set binary representation and draw some conclusions about their efficiency. Results presented here confirm high-efficiency uniform two-point crossover, but also interesting comparisons among others, less