Solving the Multiple choice Multidimensional Knapsack problem with ABC algorithm.

CEC(2020)

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摘要
The Multidimensional Multiple-choice Knapsack Problem (MMKP) is an NP-hard problem. Many heuristics algorithms have been developed to solve this combinatorial optimization problem. In this work, a new method based on Artificial Bee Colony algorithm (ABC) and surrogate constraint is proposed to solve the MMKP. Experimental results show that this method is competitive with the state-of-the-art approaches.
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关键词
MMKP, ABC algorithm, Surrogate constraint, Combinatorial optimization problem
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