Annals of Operations Research
Annals of Operations Research - Special issue on Tabu search
Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Tabu Search
Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks
Proceedings of the 5th International Conference on Genetic Algorithms
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Due to the recent changes of the European domestic market including the opening up of Eastern Europe and its associated logistical (distribution) consequences, the economically significant question of reorganization of goods distribution networks represents an increasing problem for many companies operating in Europe. The existing concepts indicate several weak points because of insufficient consideration of real, nonlinear transportation and storage costs as well as of underlying strategies behind the distribution structure. In addition, the existing concepts are limited to the optimization of only one warehousing level. The consideration of real conditions incl. simultaneous optimization of multiple distribution echelons increases the complexity enormously, hence a further development of known concepts will practically fail. Contents of the following contribution - promoted by the DFG (Lu 373/18-1) - are based on application of heuristic concepts, i.e. Simulated Annealing, Evolutionary Strategies, Genetic Algorithms, and TABU Search for solving this complex optimization problem.