Sequencing a One State-Variable Machine: A Solvable Case of the Traveling Salesman Problem 论文

1964Operations Research引用 550
Scheduling and Optimization AlgorithmsOptimization and Search ProblemsComputability, Logic, AI Algorithms

详细信息

发表期刊/会议
Operations Research
发表日期
1964-10-01
发表年份
1964

关键词

Scheduling and Optimization AlgorithmsOptimization and Search ProblemsComputability, Logic, AI Algorithms

摘要

We consider a machine with a single real variable x that describes its state. Jobs J 1 , …, J N are to be sequenced on the machine. Each job requires a starting state A, and leaves a final state B i . This means that J i can be started only when x = A i and, at the completion of the job, x = B i . There is a cost, which may represent time or money, etc., for changing the machine state x so that the next job may start. The problem is to find the minimal cost sequence for the N jobs. This problem is a special case of the traveling salesman problem. We give a solution requiring only 0(N 2 ) simple steps. A solution is also provided for the bottleneck form of this traveling salesman problem under special cost assumptions. This solution permits a characterization of those directed graphs of a special class which possess Hamiltonian circuits.