节点文献
遗传算法求解带容量限制的最小费用流问题
Study on Capacitated Minimum Cost Flow Problem with Genetic Algorithm
【摘要】 研究了带容量限制的带固定费用和可变费用的最小费用流问题,发现该问题是混合0-1整数规划问题,不存在多项式算法.在研究了最优解的结构后,结合最优解的结构特点为之设计了遗传算法,然后构造了一个100个节点的特殊网络,用计算机做了100例计算,验证了该算法具有很好的近似比和很快的收敛速度.
【Abstract】 The author study the minimum cost flow problem with not only fixed cost but also variable cost,and they found it be a mixed 0-1 linear program,and it does not have polynomial time algorithm.So they study the optimal solution’s characters,and gave a genetic algorithm.Last,with an computer experiment they proved that the algorithm can get a rather good approximate solution and runs quickly.
【关键词】 最小费用流;
固定费用;
遗传算法;
物流;
【Key words】 minimum cost flow problem; fixed cost; genetic algorithm; logsitics;
【Key words】 minimum cost flow problem; fixed cost; genetic algorithm; logsitics;
【基金】 广东省自然科学基金(04009474,06021493);国家自然科学基金(70671030)
- 【文献出处】 数学的实践与认识 ,Mathematics in Practice and Theory , 编辑部邮箱 ,2007年02期
- 【分类号】F224
- 【被引频次】17
- 【下载频次】693