Abstract
In this paper, the groth and decay of chromosomes in the process of intelligent GA search is examined using schema theorem of GA and the influences of the probability of crossover and mutation on the evolution process are discussed through a specific computational example. It is found that the problems not only in deciding the length of chromosomes but also in selecting the probability of crossover and mutation can be effectively improved. Based on the examinations above, the application of the intelligent GA to some structural reliability problems is investigated and it is shown that the intelligent GA is applicable to general structural reliability problems through some computational examples.
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