A Research of Collateral Production Scheduling Based on Genetic Algorithms

A kind of collateral production scheduling based on mixed genetic simulation algorithms has been presented in this paper. In the view of the model of collateral production, the principle and the method of the operator´s determination and design has been studied in genetic algorithms. The strategy to keep elites has been studied in genetic algorithms as well. In order to guarantee the quality of the initial the species´ chromosomes in the example, the weighted benefit has been used to generate the initial species´ chromosomes of genetic algorithms and the final result has also been attained in this way. Finally, the result has presented that this method has many advantages such as the strong optimization capability and the high optimization efficiency.