This paper presents and compares three heuristics for the combinatorial auctionproblem. Besides a simple greedy (SG) mechanism, two metaheuristics, a simulatedannealing (SA), and a genetic algorithm (GA) approach are developedwhich use the combinatorial auction process to an allocation with...

Der Beitrag stellt ein Simulated Annealing-Verfahren zur Lösung des um Zeitfensterrestriktionen erweiterten Standardproblems vor. Die Zielfunktion berücksichtigt zwei Zielkriterien, die Minimierung der Fahrzeuganzahl als primäres und die Minimierung der Gesamtentfernung als sekundäres...

This study considers a fuzzy based computing technique for control and optimising performance of overhead gantry crane. The objective is to minimise load swing and stabilise crane position in the least possible time. The fuzzy controllers were designed using nine gaussian and triangular shape...

The article dwells upon the dynamic and stochastic mathematical models of organizational development and changes, as well as to the algorithms for their optimization. The adjustment of the intensity of the changes can be achieved through the efficient integration between the departments in...

This study aims to discuss the solution methodology for a closed-loop supply chain (CLSC) network that includes the collection of used products as well as distribution of the new products. This supply chain is presented on behalf of the problems that can be solved by the proposed meta-heuristic...

Purpose: The increase in social awareness, politics and environmental regulation, the scarcity of raw materials and the desired "green" image, are some of the reasons that lead companies to decide for implement processes of Reverse Logistics (RL). At the time when incorporate new RL processes as...

Abstract The digital field certainly provides a lot of information in the medical field, it is possible, in a computerized way, also to simulate epidemics, and the spread of these. There have been events in the past, in some simulation games, which are currently being studied, as they could...