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MOEA/D with Uniform Design for the Multiobjective 0/1 Knapsack Problem

机译:具有统一设计的MOEA / D,用于多目标0/1背包问题

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The 0/1 knapsack problem is a well known problem occurring in many real world problems. The problem is NP-complete. The multiobjective 0/1 knapsack problem is a generalization of the 0/1 knapsack problem in which multiple knapsacks are considered. A new version of MOEA/D for solving multiobjective 0/1 knapsack problem is proposed in this paper. This algorithm adopts the uniform design method to generate the aggregation coefficient vectors so that the decomposed scalar optimization sub problems are uniformly scattered, and therefore the algorithm could explore uniformly the region of interest from the initial iteration. Experimental results demonstrate that the proposed algorithm outperforms NSGA-II, SPEA2 and PESA significantly for the 2-objective, 3-objective and 4-objective benchmark knapsack problems.
机译:0/1背包问题是在许多现实世界中发生的众所周知的问题。问题是NP完全的。多目标0/1背包问题是0/1背包问题的推广,其中考虑了多个背包。提出了一种解决多目标0/1背包问题的MOEA / D新版本。该算法采用统一设计方法生成聚集系数向量,使分解后的标量优化子问题均匀分散,因此该算法可以从初始迭代中均匀地探索目标区域。实验结果表明,该算法在2目标,3目标和4目标基准背包问题上的性能明显优于NSGA-II,SPEA2和PESA。

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