Abstract
This article investigates several intensification and diversification strategies for the one machine problem with weighted tardiness objective. The aim of this study was to achieve a balance between intensification and diversification strategies. The use of intensification by decomposition, path relinking, frequency-based memory and large step optimization in intensification and diversification process, are combined in several procedures. We perform several computational experiments to study the effect of several combination of these strategies. Our result indicates that combined “large step optimization” with “intensification-diversification approach” and adicional intensification with “path relinking” achieve the betters performance.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Laguna, M., Martí, R.: Grasp and Path Relinking for 2-Layer Straight Line Crossing Minimization, University of Colorado at Boulder (1997)
McNaughton, R.: Scheduling with Deadlines and Loss Functions. Management Science 6(1), 1–12 (1959)
Held, M., Karp, R.M.: A Dynamic Programming Approach to Sequencing Problems. Journal of the Society for Industrial and Applied Mathematics 10(1), 196–210 (1962)
Lawler, E.: On Scheduling Problems with Deferral Costs. Management Science 11(2), 280–288 (1964)
Glover, F.: Future paths for integer programming and links to artificial intelligence. Computers and Ops. Res. 5, 533–549 (1986)
Glover, F., Taillard, E., de Werra, D.: A user’s guide to tabu search. Ann. Oper. Res. 41, 3–28 (1993)
Glover, F., Laguna, M.: Modern Heuristic Techniques for Combinatorial Problems, ch. 3, pp. 70–147. Halsted Press, John Wiley & Sons, Inc. (1993)
Glover, F., Laguna, M., Taillard, T., de Werra, D.: Tabu Search. Annals of Operations Research 41 (1993)
Hansen, P.: The steepest ascent mildest descent heuristic for combinatorial programming. In: Congress on Numerical Methods in Combinatorial Optimization, Capri, Italy (1986)
Ramalhinho Lourenco, H., Zwijnenburg, M.: Combining the Large- step Optimization with Tabu-Search: Application to The Job-Shop Scheduling Problem. In: Meta-Heuristics: Theory and Applications, ch. 14, pp. 219–235. Kluwer Academic Publishers, Dordrecht (1998)
Emmons, H.: One-Machine Sequencing to Minimize Certain Functions of Job Tardiness. The Journal of the Operations Research Society of America 17(4), 701–715 (1969)
Shwimer, J.: On the N-Job, One-Machine, Sequence-Independent Scheduling Problem with Tardiness Penalties: A Branch-Bound Solution. Management Science 18(6), 301 (1972)
Morton, T.E., Pentico, D.W.: Heuristic Scheduling Systems, with Applications to Production Systems and Project Management. Wiley Series in Engineering and Technology Management (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Beausoleil, R.P. (2000). Intensification and Diversification Strategies with Tabu Search: One-Machine Problem with Weighted Tardiness Objective. In: Cairó, O., Sucar, L.E., Cantu, F.J. (eds) MICAI 2000: Advances in Artificial Intelligence. MICAI 2000. Lecture Notes in Computer Science(), vol 1793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720076_5
Download citation
DOI: https://doi.org/10.1007/10720076_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67354-5
Online ISBN: 978-3-540-45562-2
eBook Packages: Springer Book Archive