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- W2364337589 abstract "Through describing the different job shop scheduling problem and analyzing the similar characteristic between them,a Gini-index genetic algorithm is proposed.This algorithm introduces a new genetic scheduling operator based on the idea of evolving ecology and decision tree algorithm.By calculating the Gini-index among the individuals,the operators can not only measure current population,but also find the crossover(or mutatation) parents and the crossover(or mutatation) points.It is helpful to raise the quality of genetic algorithm and guarantee population diversity.For the scheduling problems with similar characteristics,the computation results of simulation validate the effectiveness of the proposed algorithm." @default.
- W2364337589 created "2016-06-24" @default.
- W2364337589 creator A5071273226 @default.
- W2364337589 date "2009-01-01" @default.
- W2364337589 modified "2023-09-23" @default.
- W2364337589 title "Gini-index genetic algorithm for the scheduling problems with similar characteristics" @default.
- W2364337589 hasPublicationYear "2009" @default.
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