摘要
遗传算法(GA)是一类仿生算法,广泛应用于大型优化问题的求解.本文介绍了GA的原理和算法,并用简单遗传算法(SGA)和混合遗传算法(HGA)对旅行售货员问题(TSP)进行了研究.
おenetic algorithms are known as a class of simulatedbiologylike algorithm, widely applied in large scale optimization problems. In this paper, we introduce the principles of GA and make use of SGA (simple genetic algorithm) and HGA (hybrid genetic algorithm) to travelling salesman problem.
出处
《上海大学学报(自然科学版)》
CAS
CSCD
1997年第5期576-581,共6页
Journal of Shanghai University:Natural Science Edition
基金
上海市教委科研基金
关键词
遗传算法
混合遗传算法
旅行售货员问题
genetic algorithm, hybrid genetic algorithm, travelling salesman problem