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基于遗传算法的多目标0-1背包问题优化模型
Optimization Model Based on Genetic Algorithm for Multi-Objective 0-1 Knapsack Problems
【摘要】 多目标0-1背包问题是一个NP-complete的多目标优化问题,基于群体搜索机制的遗传算法非常适合多目标优化问题的求解。在著名的多目标优化遗传算法NSGA-II中,引入邻域搜索机制,并将其应用于多目标0-1背包问题的求解。数值实验表明,引入邻域搜索机制的NSGA-II算法在求解多目标0-1背包问题时表现出更好的性能。
【Abstract】 Multi-objective 0-1 knapsack problem is an NP-complete multi-objective optimization problem.Population-based genetic algorithm is well-suited for multi-objective optimization problems.In the famous algorithm NSGA-II,the neighborhood search is introduced.The numerical experimental results show that NSGA-II with the neighborhood search can outperform NSGA-II applied to multi-objective 0-1 knapsack problems.
【关键词】 遗传算法;
多目标优化;
背包问题;
Pareto最优;
【Key words】 Genetic Algorithm; multi-objective optimization; knapsack problem; Pareto optimal;
【Key words】 Genetic Algorithm; multi-objective optimization; knapsack problem; Pareto optimal;
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2006年25期
- 【分类号】TP301.6
- 【被引频次】13
- 【下载频次】862