Skip to main content

Multicriteria Evolutionary Algorithm with Tabu Search for Task Assignment

  • Conference paper
  • First Online:
Evolutionary Multi-Criterion Optimization (EMO 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1993))

Included in the following conference series:

Abstract

In this paper, three evolutionary algorithms are discussed for solving three-criteria optimisation problem of finding a set of Pareto-optimal task assignments. Finally, the algorithm with a tabu mutation is recommended for solving an established multiobjective optimisation dilemma. Some numerical results are submitted.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Balicki, J., Kitowski, Z.: Tabu Search Versus Evolutionary Search For Software Structure Optimisation. In C. A. Brebbia, A. Smartin (eds.): Computational Methods for Smart Structures and Materials, Proceedings of the Second International Conference on Computa-tional Methods for Smart Structures and Materials, Madrid. WIT Press, Southampton Bos-ton, (2000) 131–140

    Google Scholar 

  2. Balicki, J., Kitowski, Z.: Genetic And Evolutionary Algorithms For Finding Efficient Pro-gram Module Allocations. In N. E. Mastorakis: Advances In Intelligent Systems And Com-puter Science. World Scientific and Engineering Society Press, Danvers (1999) 151–156

    Google Scholar 

  3. Binh, T. T., Korn, U.: Multiobjective Evolution Strategy For Constrained Optimisation Problems. Proceedings of the 15th IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics, Berlin (1997), 357–362

    Google Scholar 

  4. Blazewicz, J., Formanowicz, P., Glover, F., Kasprzak, M., Weglarz, J.: An Improved Tabu Search Algorithm For DNA Sequencing With Errors. Proceedings of the III Metaheuristics International Conference MIC’99, Angra dos Reis (1999) 69–75

    Google Scholar 

  5. Bokhari, S. H.: Assignment Problems In Parallel And Distributed Computing. Kluwer Academic Publishers, Boston (1987)

    Google Scholar 

  6. Chu, W. W., Lan, L. M. T.: Task Allocation And Precedence Relations For Distributed Real-Time Systems. IEEE Transactions on Computers, Vol. C-36, No. 6 (1987) 667–679

    Article  Google Scholar 

  7. 7. Coello Coello C. A.: A Comprehensive Survey Of Evolutionary-Based Multiobjective Optimisation Techniques. Knowledge and Information Systems. An International Journal, Vol. 1 (1999) 269–308

    Google Scholar 

  8. Fonseca, C. M., Fleming, P. J.: An Overview Of Evolutionary Algorithms In Multiobjective Optimisation, Evolutionary Computation, Vol. 3, No. 1 (1995) 1–16

    Article  Google Scholar 

  9. Fonseca, C. M., Fleming, P. J.: Multiobjective Genetic Algorithm Made Easy: Selection, Sharing And Mating Restriction. Proceedings of the First International Conference on Ge-netic Algorithms in Engineering Systems: Innovations and Applications, Sheffield, (1995)

    Google Scholar 

  10. Fourman, M. P.: Compaction Of Symbolic Layout Using Genetic Algorithms. Proceedings of the First International Conference on Genetic Algorithms, Hillsdale (1985) 141–153

    Google Scholar 

  11. Glover F., Laguna M.: Tabu Search. Kluver Academic Publishers, Boston (1997)

    MATH  Google Scholar 

  12. Goldberg, D. E.: Genetic Algorithms In Search, Optimisation, And Machine Learning. Addison-Wesley Publishing Company, Massachusetts (1989)

    Google Scholar 

  13. Hansen M. P.: Tabu Search For Multicriteria Optimisation: MOTS. Proceedings of the Multi Criteria Decision Making, Cape Town, South Africa (1997)

    Google Scholar 

  14. Kafil, M. Ahmad, I.: Optimal Task Assignment In Heterogeneous Distributed Computing Systems. IEEE Concurrency, Vol. 6, No. 3 (1998) 42–51

    Article  Google Scholar 

  15. Knowles, J., Corne, D. W.: Approximating The Nondominated Front Using The Pareto Archived Evolution Strategy. Evolutionary Computation, Vol. 8, No. 2 (2000) 149–172

    Article  Google Scholar 

  16. Kursawe, E.: A Variant Of Evolution Strategies For Vector Optimisation. in H.-P. Schwe-fel, R. Manner (eds.), Parallel Problem Solving From Nature, 1st Workshop, Lecture Notes in Computer Science, Springer Verlag, Vol. 496 (1991) 193–197

    Chapter  Google Scholar 

  17. Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. Springer Verlag, Berlin Heidelberg New York (1996)

    Google Scholar 

  18. Murthy, I., Seo, P. K.: A Dual-Descent Procedure For The File Allocation And Join Site Selection Problem On A Telecommunications Network. An International Journal Networks, Vol. 33, No. 2 (1999) 109–123

    MATH  MathSciNet  Google Scholar 

  19. Schaffer, J. D.: Multiple Objective Optimisation With Vector Evaluated Genetic Algorithm. Proceedings of the First International Conference on Genetic Algorithms, Hillsdale, (1985) 93–100

    Google Scholar 

  20. Schwefel, H. P.: Evolution And Optimum Seeking. John Wiley and Sons, Chichester (1995)

    Google Scholar 

  21. Sheble, G. B., Britting, K.: Refined Genetic Algorithm-Economic Dispatch Example. IEEE Transactions on Power Systems, Vol. 10, No. 2 (1995) 117–124

    Article  Google Scholar 

  22. Srinivas N., Deb K.: Multiobjective Optimisation Using Nondominated Sorting In Genetic Algorithms. Evolutionary Computation, Vol. 2, No. 3 (1994) 221–248

    Article  Google Scholar 

  23. Stone, H. S.: Multiprocessor Scheduling With The Aid Of Network Flow Algorithms. IEEE Transactions on Software Engineering, Vol. SE-3, No. 1 (1977) 85–93

    Article  Google Scholar 

  24. Van Veldhuizen, D. V., Lamont, G. B.: Multiobjective Evolutionary Algorithms: Analyzing The State-Of-The-Art. Evolutionary Computation, Vol. 8, No. 2 (2000) 125–147

    Article  Google Scholar 

  25. Weglarz J. (ed.): Recent Advances In Project Scheduling. Kluwer Academic Publishers, Dordrecht (1998)

    Google Scholar 

  26. Zitzler, E., Deb, K., and Thiele, L.: Comparison Of Multiobjective Evolutionary Algo-rithms: Empirical Results. Evolutionary Computation, Vol. 8, No. 2 (2000) 173–195

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Balicki, J., Kitowski, Z. (2001). Multicriteria Evolutionary Algorithm with Tabu Search for Task Assignment. In: Zitzler, E., Thiele, L., Deb, K., Coello Coello, C.A., Corne, D. (eds) Evolutionary Multi-Criterion Optimization. EMO 2001. Lecture Notes in Computer Science, vol 1993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44719-9_26

Download citation

  • DOI: https://doi.org/10.1007/3-540-44719-9_26

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41745-3

  • Online ISBN: 978-3-540-44719-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics