Improved Quantum Genetic Algorithm for robot coalition problem

doi:10.3778/j.issn.1002-8331.2009.04.011

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (4): 38-41.DOI: 10.3778/j.issn.1002-8331.2009.04.011

• 研究、探讨 • Previous Articles Next Articles

Improved Quantum Genetic Algorithm for robot coalition problem

XU Bo,LI Zhi-yong,WANG Yong

College of Computer and Communication，Hunan University，Changsha 410082，China

Received:2008-01-11 Revised:2008-03-31 Online:2009-02-01 Published:2009-02-01
Contact: XU Bo

改进型量子遗传算法求解机器人联盟问题

许波,李智勇,王永

湖南大学计算机与通信学院，长沙 410082

通讯作者: 许波

Abstract

Abstract: Multi-Robot Coalition Formation is an important cooperative method，which is a complicated combinatorial optimization problem.In this paper，an improved quantum genetic algorithm is proposed，where a novel “the islands model based on information positive feedback” and a strategy for updating quantum gate using the evolutionary equation are employed to avoid the premature convergence.The results of simulation experiments show that this algorithm is valid and superior to other related methods as far as the stability and speed of convergence.

Key words: Quantum Genetic Algorithm（QGA）, multi-robot, coalition, genetic algorithm

摘要： 联盟是多机器人之间一种重要的合作方法，如何生成面向某个任务的最优联盟是一个复杂的组合优化问题。引入量子遗传算法来解决这一问题，在求解过程中引入“基于信息正反馈的岛屿模型”对量子遗传算法进行改进，并采用进化方程对量子门进行更新，使其不再易于陷入局部极值。仿真实验结果表明，该算法在解的质量和收敛速度上优于目前同类算法。

关键词: 量子遗传算法, 机器人, 联盟, 遗传算法

XU Bo,LI Zhi-yong,WANG Yong. Improved Quantum Genetic Algorithm for robot coalition problem[J]. Computer Engineering and Applications, 2009, 45(4): 38-41.

许波,李智勇,王永. 改进型量子遗传算法求解机器人联盟问题[J]. 计算机工程与应用, 2009, 45(4): 38-41.

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Improved Quantum Genetic Algorithm for robot coalition problem

改进型量子遗传算法求解机器人联盟问题

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