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This paper introduces triangulation theory into genetic algorithm and with which, the optimization problem will be translated into a fixed point problem. An improved genetic algorithm is proposed by virtue of the concept of relative coordinates genetic coding, designs corresponding crossover and mutation operator. Through genetic algorithms to overcome the triangulation of the shortcomings of human...
A clustering method for evaluation of slope stability is developed based on genetic algorithm. By incorporating features of the problem discussed, the corresponding genetic operators such as selection strategy, crossover operator, and mutation operator are designed to promote global search. Computational results show that the GA-based model can avoid the disadvantages of ordinary clustering methods...
Considering the deficiency of the traditional crossover operator of Genetic Algorithms (GAs) in global searching, the partheno-crossover operator is proposed in this paper. The partheno-crossover, a new crossover operator, still uses the traditional method of crossover. The individual of the population doesn't cross over the individual of the same population but the individual of the completely different...
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