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- W2359797029 abstract "Studying shop scheduling problem has become increasingly important with the development of CIMS. Identical parallel machine scheduling problem is a kind of important shop scheduling problem, but there have been many difficulties in the course of solving large scale identical parallel machine scheduling problem with too many jobs and machines so far. Evolutionary Programming method is an important evolutionary computation method as genetic algorithm. But compared with genetic algorithm, the application of evolutionary programming has just begun, papers about the application of evolutionary programming in the field of scheduling are much fewer, in this paper, evolutionary programming method is applied to identical parallel machine scheduling problem for the first time. researches are made in these aspects such as problem formulation, expression of feasible solution, mutation method of evolutionary programming and improving the ability of local optimization of evolutionary programming. Computational results of different scale problems show that the evolutionary programming algorithm is efficient, and that it is fit for solving larger scale identical parallel machine scheduling problem, and that the quality of its solution has advantage over heuristic procedure and simulated annealing." @default.
- W2359797029 created "2016-06-24" @default.
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- W2359797029 date "1998-01-01" @default.
- W2359797029 modified "2023-09-23" @default.
- W2359797029 title "Application of evolutionary programming method in identical parallel machine scheduling problem" @default.
- W2359797029 hasPublicationYear "1998" @default.
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