A modified artificial bee colony approach for the 0-1 knapsack problem

作者:Jie Cao, Baoqun Yin, Xiaonong Lu, Yu Kang, Xin Chen

摘要

The 0-1 knapsack problem (KP01) is one of the classical NP-hard problems in operation research and has a number of engineering applications. In this paper, the BABC-DE (binary artificial bee colony algorithm with differential evolution), a modified artificial bee colony algorithm, is proposed to solve KP01. In BABC-DE, a new binary searching operator which comprehensively considers the memory and neighbour information is designed in the employed bee phase, and the mutation and crossover operations of differential evolution are adopted in the onlooker bee phase. In order to make the searching solution feasible, a repair operator based on greedy strategy is employed. Experimental results on different dimensional KP01s verify the efficiency of the proposed method, and it gets superior performance compared with other five metaheuristic algorithms.

论文关键词:Knapsack problem, Artificial bee colony, Differential evolution, Mutation, Crossover, Greedy strategy

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论文官网地址:https://doi.org/10.1007/s10489-017-1025-x