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- W2366370267 abstract "An improved pseudo-parallel genetic algorithm(PPGA) was proposed to solve the premature convergence and inefficient implementation problems of optimizing problems.This algorithm unified the parallel evolution and the serial search,enhanced the algorithm convergence rate.Simultaneously each sub-population′s scale was controlled by the population parameter in the PPGA,not only guaranteed the balance of between the exploration and the mining,overcame prematurely restrains,but also reduced the computation complexity,specially had the high performance in the processing complex optimization question.The experimental result had proven this algorithm′ validity." @default.
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- W2366370267 date "2010-01-01" @default.
- W2366370267 modified "2023-09-23" @default.
- W2366370267 title "An Improved Pseudo Parallel Genetic Algorithm for Solving Job-shop Scheduling Problems" @default.
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