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Task Realization’s Optimization with Earliness and Tardiness Penalties in Distributed Computation Systems

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Advances in Web Intelligence (AWIC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3528))

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Abstract

There are many service systems (especially in reservation systems, electronic commerce, in tasks synchronized directly with the Internet), where each task has to be executed in some fixed range of time. Exceeding the term is disadvantageous and causes additional penalties. Therefore, it is necessary to establish optimal sequence of tasks (which minimizes penalties) and its starting times. It amounts to some job scheduling problem with earliness and tardiness. Because usually tasks are received in the distributed system (in the web), so to solve the presented problem we propose a parallel coevolutionary algorithm based on the Lamarck evolution and the island model of migration.

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References

  1. Baker, K.R., Scudder, G.D.: Sequencing with earliness and tardiness penalties: a review. Operations Research 38, 22–36 (1990)

    Article  MATH  MathSciNet  Google Scholar 

  2. Bożejko, W., Grabowski, J., Wodecki, M.: A block approach for single machine total weighted tardiness problem. Tabu search algorithm (to appear)

    Google Scholar 

  3. Glover, F., Laguna, M.: Tabu Search. Kluwer, Dordrecht (1997)

    MATH  Google Scholar 

  4. Holland, J.H.: Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor (1975)

    Google Scholar 

  5. Hoogeveen, J.A., Van de Velde, S.L.: A branch and bound algorithm for single-machine earliness-tardiness scheduling with idle time. INFORMS Journal on Computing 8, 402–412 (1996)

    Article  MATH  Google Scholar 

  6. Lawler, E.L.: A “pseudopolynomial” algorithm for sequencing jobs to minimize total tardiness. Annals of Discrete Mathematics 1, 331–342 (1977)

    Article  MathSciNet  Google Scholar 

  7. Lenstra, J.J., Rinnoy Kan, A.H.G., Brucker, P.: Complexity of machine scheduling problems. Annals of Discrete Mathematics 1, 343–362 (1977)

    Article  Google Scholar 

  8. Smith, W.E.: Various Optimizers for Single-Stage Production. Naval Research Logist Quartely 3, 59–66 (1956)

    Article  Google Scholar 

  9. Wan, G., Yen, B.P.C.: Tabu search for single machine scheduling with distinct due windows and weighted earliness/tardiness penalties. European Journal of Operational Research 142, 271–281 (2002)

    Article  MATH  MathSciNet  Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Bożejko, W., Wodecki, M. (2005). Task Realization’s Optimization with Earliness and Tardiness Penalties in Distributed Computation Systems. In: Szczepaniak, P.S., Kacprzyk, J., Niewiadomski, A. (eds) Advances in Web Intelligence. AWIC 2005. Lecture Notes in Computer Science(), vol 3528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11495772_12

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  • DOI: https://doi.org/10.1007/11495772_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26219-0

  • Online ISBN: 978-3-540-31900-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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