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- W2389063695 abstract "The set covering problem is a typical combination-optimal problem,and it is widely used in our daily life.An improved genetic algorithm is presented for solving set covering problem in this paper.The improvements for standard genetic algorithm include the following aspects:first,this method designs a new way to generate initial population; second,a repair operator is introduced to transform infeasible solutions into feasible solutions; third,this method deals with overlapping individuals and reuses them;fourth,it promotes the multi-point crossover and designs a new crossover operator;fifth,two types of adaptive multi-bit mutation have been taken to deal with the feasible solutions and infeasible solutions. Experimental results show that this algorithm is efficient for solving relatively large set covering problem." @default.
- W2389063695 created "2016-06-24" @default.
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- W2389063695 date "2012-01-01" @default.
- W2389063695 modified "2023-09-28" @default.
- W2389063695 title "Improved Genetic Algorithm for Set Covering Problem" @default.
- W2389063695 hasPublicationYear "2012" @default.
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