On the Question of Finding the Value of Routing Problem with Constraints

摘要

The problem of sequential going around megapolises with the constraints of different types is considered. It is supposed that cost functions and "current" constraints can depend on the tasks list (the dependence on the list of fulfilled and vice versa yet nonfulfilled tasks is possible). An approach to determination of a global extremum (a problem value) on the basis of the widely interpreted dynamic programming is proposed. Owing to this approach, the storage-efficiency of computer is reached; this permits one to determine the extremum in the problem of the larger dimension and use it for heuristic algorithms testing. To construct the layers of the Bellman function, the shortened procedure, which enables one to decrease the computing complexity, is used (under the previous conditions, the construction of all the array of the Bellman function values is not expected).