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- W2392032792 abstract "The traditional genetic algorithm (GA) had many shortcomings with respect to the structure optimization with discrete variables. The iteration process was slow and genetic operator had file prospect of much randomization. An approach of replacement for the worst and protection for the best is present in this paper, which ensures the high quality of the population. The excellent individuals only execute the genetic operation which improves their performance. The imitative full stress design method (IFS) was given in reference [Ⅰ]. The iterative procedure of IFS converges fast. The combinatorial genetic algorithm combines IFS and GA, which accommodates the result of IFS in the population of GA. The superiority of each method can be exerted and shortcomings evaded. The result of example is very satisfied." @default.
- W2392032792 created "2016-06-24" @default.
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- W2392032792 date "2001-01-01" @default.
- W2392032792 modified "2023-09-25" @default.
- W2392032792 title "A Novel Combinatorial Genetic Algorithm on Structure Optimization with Discrete Variables" @default.
- W2392032792 hasPublicationYear "2001" @default.
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