计算机与现代化

• 人工智能 • 上一篇    下一篇

基于演化算法的资源包投放优化

  

  1. (西北工业大学计算机学院,陕西西安 710129)
  • 收稿日期:2013-10-23 出版日期:2014-02-14 发布日期:2014-02-14
  • 作者简介:邓海鑫(1988-),男,山东青州人,西北工业大学计算机学院硕士研究生,研究方向:人工智能; 艾丽蓉(1970-),女,陕西延安人,副教授,博士,研究方向:人工智能。

Optimization of Resource Package Delivery Based on Evolutionary Algorithm

  1.  (School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China)
  • Received:2013-10-23 Online:2014-02-14 Published:2014-02-14

摘要: 自然灾害中救援包的投放、高效的军事打击等现实情况都涉及资源包优化投放问题,但资源包的优化投放问题作为NP-hard问题,用传统的搜索方法很容易陷入局部最优,所以设计高效的现代启发式算法解决该问题显得尤为重要。本文提出一种通过区域分类、应用启发式算法及线性规划来解决该问题的方法。实验分别采用演化算法和遗传算法实现对资源包落点的确定。实验结果表明,应用演化算法的方法可以更高效地处理资源包优化投放问题。

关键词: 资源包, 优化投放, 演化算法, 启发式

Abstract: Because natural disaster relief package delivery, efficient military strikes are related to the realities of resource package optimization delivery problem, which is NP-hard, it is very easy to fall into local optimization by using traditional search method, so designing efficient modern heuristic algorithm to solve this problem is particularly important. This paper presents a method to solve the problem through regional classification, heuristic method and linear programming. We respectively use the evolutionary algorithm and the genetic algorithm to determine the placement of resource packages. Experimental results show that the evolutionary algorithm can better process the resource packet delivery.

Key words: resource package, optimization delivery, evolutionary algorithm, heuristic method

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