摘要
本文基于Boltzmann网络模型,探讨了解组合优化中两个NP难题的算法.第一个是解旅行商问题(TSP)算法,文中首先以Aarts等提出的算法为基础,对其"收敛过程"作了改进,因而与原算法相比,运算速度较快.第二个是任务安排算法,该算法具有优化程度高,计算速度快等特点.
This paper discusses two algorithms in combinatorial optimization problem based on Boltzmann machine. The first is the TSP (Travelling Salesman Problem) algorithm which is originally presented by Aarts but with different cooling schedule. It's faster than Aatrs'. The second is the task arrange problem algorithm. It is characterized by high optimization degree and computation speed.
出处
《计算机研究与发展》
EI
CSCD
北大核心
1992年第11期15-19,7,共6页
Journal of Computer Research and Development
基金
国家863计划的资助
关键词
并行
分布式处理
玻尔兹曼网络
parallel distributed processing
travelling salesman problem
task arrange