Search

We propose a dead-end control algorithm for the exact solution of NP-hard combinatorial optimization problems. The efficiency of the algorithm is demonstrated by examples of solving the set-partition and 0-1 knapsack problems. The paper also shows that the use of the idea of dead-end controls when implementing the dynamic programming method can considerably reduce the number of problem state variables at each optimization step. A comparative analysis of the proposed method with known algorithms for solving these problems is carried out. [ABSTRACT FROM AUTHOR]

We consider the problem of decomposing the set of paths in a directed graph and its application to reducing the dimension of an applied problem on the assignment and transportation of locomotives. On a given set of paths and a set of strongly connected subgraphs, we define a special table. To solve the graph decomposition problem, we develop a heuristic algorithm based on the idea of quicksorting the constructed table. We estimate of the complexity of the resulting algorithm. The obtained results were used to reduce the dimension of the above-mentioned applied problem. We also show the results of computational experiments. [ABSTRACT FROM AUTHOR]