计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (26): 200-202.

• 工程与应用 • 上一篇    下一篇

一种求解三维集装箱装箱问题的混合遗传算法

江宝钏,熊伟清   

  1. 宁波大学 信息与科学工程学院,浙江 宁波 315211
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-09-11 发布日期:2007-09-11
  • 通讯作者: 江宝钏

Hybrid genetic algorithm solving for three-dimensional container loading problem

JIANG Bao-chuan,XIONG Wei-qing   

  1. College of Information Science and Engineering,Ningbo University,Ningbo,Zhejiang 315211,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-09-11 Published:2007-09-11
  • Contact: JIANG Bao-chuan

摘要: 在遗传算法的基础上结合传统启发式装箱算法,设计了一个混合遗传算法,该算法既继承了遗传算法的全局搜索好的优点,也克服了遗传算法局部搜索能力差的缺点,能够较好地解决集装箱这类多目标多约束的空间三维分布的问题。

关键词: 集装箱装箱问题, 混合遗传算法, 启发式搜索, 三维空间背包问题

Abstract: This paper presents a hybrid genetic algorithm for the container loading problem,witch consider basic heuristic in its core loading procedure.This algorithm inherit genetic algorithm’s global searching excellence,and enhanced the genetic algorithm’s local searching ability.This algorithm can commendably figure out the three-dimensional loading problem with multi aims and multi limits.

Key words: container loading problem, hybrid genetic algorithm, heuristic search, three-dimensional loading problem