节点文献
用基于快速排序的MOGA求解MOKP
Solving 0/1 Multi-objective Knapsack Problem by Multi-objective Genetic Algorithm Based On Quick Sort
【摘要】 0/1背包问题是一类典型的组合优化问题,且属于NP完全问题.多目标遗传算法通过一次运行可以搜索到多个解,同时具有比规范遗传算法更强的求解问题的能力.该文将基于快速排序的多目标遗传算法应用于多目标0/1背包问题中,可以快速、高效地找出多个最优解.实验表明该方法能够获得满意的效果.
【Abstract】 The 0/1 knapsack problem is a well known combinatorial problem which is NP-Complete. As multi-objective genetic algorithm can find multiple solutions in a single simulation run and have stronger faculty to solve problem than CGA(Canonical Genetic Algorithm), we apply fast MOGA based on quick sort to knapsack problem and find out multiple optimal solutions faster and more efficiently. Experimental results show that the processing scheme generates desirable results.
【关键词】 多目标遗传算法;
多目标优化;
非支配集;
0/1背包问题;
【Key words】 Multi-objective genetic algorithm; Multi-objective optimization; Non-dominated set; knapsack problem;
【Key words】 Multi-objective genetic algorithm; Multi-objective optimization; Non-dominated set; knapsack problem;
【基金】 国家自然科学基金资助项目(90104021);湖南省自然科学基金资助项目(01JJY2060)
- 【文献出处】 湘潭大学自然科学学报 ,Natural Science Journal of Xiangtan University , 编辑部邮箱 ,2005年02期
- 【分类号】TP18
- 【被引频次】2
- 【下载频次】162