An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
The new market forces have affected the operation of distribution centers (DCs) extremely. The DCs demand an increased productivity and a low cost in their daily operation. This pa...
In this communication Simulated Annealing and Genetic Algorithms, are applied to the graph partitioning problem. These techniques mimic processes in statistical mechanics and biol...
The 0 1 MultidimensionalKnapsack Problem (0 1 MKP) is a NP-complete problem. Its resolution for large scale instances requires a prohibitive processing time. In this paper we prop...
Investigation of the performance and operation of complex systems in manufacturing or other environments, analytical models of these systems become very complicated. Because of th...