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• W2884240614 abstract "The Knapsack problem is an integer programming problem. This well-known problem in the field of operations research, is considered as a NP-hard problem. In this paper, we present a new hybrid genetic algorithm (HGA) to address one-dimensional knapsack problems, by using a sexual selection operator and a specific-knowledge crossover operator. Empirical results show the feasibility and effectiveness of our new algorithm HGA, by comparing with some selection and crossover mechanisms commonly used for solving the knapsack problems." @default.
• W2884240614 created "2018-08-03" @default.
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• W2884240614 date "2018-05-02" @default.
• W2884240614 modified "2023-10-02" @default.
• W2884240614 title "A hybrid genetic algorithm for solving 0/1 Knapsack Problem" @default.
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• W2884240614 doi "https://doi.org/10.1145/3230905.3230907" @default.
• W2884240614 hasPublicationYear "2018" @default.
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