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Applying Heuristic Algorithms on Structuring Europeanwide Distribution Networks

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Computational Intelligence (Fuzzy Days 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1625))

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Abstract

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.

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7 References

  1. Bach, L.: Methoden zur Bestimmung von Standorten und Einzugsbereichen zentraler Einrichtungen. Birkhäuser Verlag, Basel Stuttgart (1978)

    Google Scholar 

  2. Battiti, R., Tecchiolli, G.: The Continuous Reactive TABU Search: Blending Combinatorial Optimization and Stochastic Search for Global Optimization — Metaheuristics in Combinatorial Optimization —. In: Annals of Operations Research, 63 (1996) 113–118

    Article  Google Scholar 

  3. Blank, U.: Entwicklung eines Verfahrens zur Segmentierung von Warenverteilungssystemen. Dissertation RWTH Aachen (Forschungsinstitut für Rationalisierung — FIR), Aachen (1980)

    Google Scholar 

  4. Cerny, V.: A thermodynamical Approach to the Traveling Salesman Problem. In: Journal of Optimization Theory and Applications, 45/1 (1985) 41–51

    Article  MATH  MathSciNet  Google Scholar 

  5. Davis, L.: Handbook of Genetic Algorithms. New York (1991)

    Google Scholar 

  6. Djamschidi, R., Friemuth, U.: Distributionslogistik im hochdynamischen Europa. In: Arbeitgeber 15/16 (1997) 483–486

    Google Scholar 

  7. Djamschidi, R.: Efficient Algorithms for Structuring Distribution Networks. In: Eufit’ 98, 6th European Congress on Intelligent Techniques and Soft Computing, Proceedings Volume III. Verlag Mainz Wissenschaftsverlag, Aachen (1998) 1665–1670

    Google Scholar 

  8. Djamschidi, R., Bruckner, A.: Distributionslogistik in einem sich ändernden Europa. In: Logistikplanung-Methoden, Werkzeuge, Potentiale. Tagungsband der 4. Magdeburger Logistik-Tagung, Magdeburg (1998)

    Google Scholar 

  9. Djamschidi, R.: Lagerstandortplanung in Europa. In: Praxishandbuch für Lagerplanung, organisation und-optimierung. WEKA Fachverlag für technische Führungskräfte, Augsburg (1998)

    Google Scholar 

  10. Domschke, W., Drexl, A.: Logistik: Standorte. München Wien (1985)

    Google Scholar 

  11. Glover, F.: Annals of Operations Research 41. Basel (1993)

    Google Scholar 

  12. Glover, F., Laguna, M.: Tabu Search. Kluwer Academic Publishers, Boston (1997)

    MATH  Google Scholar 

  13. Goldberg, D. E.: Genetic Algorithms in Search, Optimization and Machine Learning. Reading, Massachusetts (1989)

    MATH  Google Scholar 

  14. Hummelten, W.: Optimierungsmethoden zur betrieblichen Standortwahl. Würzburg Wien (1981)

    Google Scholar 

  15. Karaboga, D., Pham, D.: Intelligent Optimization Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks. Springer-Verlag, London, (1998)

    Google Scholar 

  16. Kinnebrock, W.: Optimierung mit genetischen und selektiven Algorithmen. Oldenbourg Verlag, München Wien (1994)

    MATH  Google Scholar 

  17. Kirkpatrick, S., Gelatt, C. D., Vecchini, M. P.: Optimization by Simulated Annealing. In: Science 220/4598 (1983) 671–680

    Article  MathSciNet  Google Scholar 

  18. Kitano, H.: A hybrid search for Genetic Algorithms: Combining Genetic Algorithms, Tabu Search and Simulated Annealing. In: Proceedings of the Fifth International Conference on Genetic Algorithms. Morgan Kaufman Publisher (1993)

    Google Scholar 

  19. Lee, J.: Faster Simulated Annealing techniques for stochastic optimization problems, with application to queering network simulation. Ph.D. Dissertation, Statistics and Operations Research, North Carolina State University (1995)

    Google Scholar 

  20. Love, R.F., Morris, J.G., Wesolowsky, G.O.: Facilities Location: models and methods. North Holland, New York (1988)

    MATH  Google Scholar 

  21. Malek, M., Guruswamy, M., Pandya, M., Owens, H: Serial and parallel Simulated Annealing and TABU Search algorithms for the travelling salesman problem. In: Annals of Operations Research, 21 (1989) 59–84

    Article  MATH  MathSciNet  Google Scholar 

  22. Metropolis, N., Rosenbluth, A., Teller, A. H.: Equation of state calculation by fast computing machines. In: Journal of Chem. Phys. 21 (1953) 1087–1091

    Article  Google Scholar 

  23. Murtagh, B. A., Niwattisy, S. R.: An Efficient Method for the Multi-Depot Location-Allocation Problem. In: Journal of the Operational Research Society 33 (1982) 629–634

    Article  MATH  Google Scholar 

  24. Nissen, V.: Evolutionäre Algorithmen. Wiesbaden (1994)

    Google Scholar 

  25. Rechenberg, I.: Evolutionsstrategie. Stuttgart (1973)

    Google Scholar 

  26. Reeves, C. R.: Modern Heuristic Techniques for Combinatorial Problems. New York (1993)

    Google Scholar 

  27. Reeves, C. R., Dowsland, K. A.: Simulated Annealing. In: Modern Heuristic Techniques for Combinatorial Problems. McGraw-Hill (1995)

    Google Scholar 

  28. Reeves, C. R., Glover, F., Laguna, M.: TABU Search. In: Modern Heuristic Techniques for Combinatorial Problems. McGraw-Hill (1995)

    Google Scholar 

  29. Schildt, B.: Strategische Produktions-und Distributionsplanung. Wiesbaden (1994)

    Google Scholar 

  30. Schwefel, H.-P.: Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie. Basel Stuttgart (1977)

    Google Scholar 

  31. Sivazlian, B. D., Stanfel, L. E.: Analysis of Systems in Operations Research. Englewood Cliffs (1975)

    Google Scholar 

  32. Tempelmeier, H.: Quantitative Marketing-Logistik. Berlin (1983)

    Google Scholar 

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Djamschidi, R., Bruckner, A. (1999). Applying Heuristic Algorithms on Structuring Europeanwide Distribution Networks. In: Reusch, B. (eds) Computational Intelligence. Fuzzy Days 1999. Lecture Notes in Computer Science, vol 1625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48774-3_71

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  • DOI: https://doi.org/10.1007/3-540-48774-3_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66050-7

  • Online ISBN: 978-3-540-48774-6

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