Skip to main content
SpringerLink
Log in

Algebraic Logical Meta-Model of Decision Processes - New Metaheuristics

  • Conference paper
Artificial Intelligence and Soft Computing (ICAISC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9119))

Included in the following conference series:

Abstract

The paper presents a formal approach to developing new heuristic methods for finding solutions of discrete optimization problems. The presented approach is based on algebraic-logical meta-model of multistage decision process (ALMM of DMP) that has been developed by the author. Definitions are provided for two deterministic classes of multistage decision processes: common multistage decision processes (cMDP) and multistage dynamic decision processes (MDDP). The paper presents some part of research results pertaining to heuristic methods utilising ALMM of MDP. It lays out a three stage concept of heuristic method synthesis involving local optimization together with two heuristic methods based on the said concept: Machine Learning Based on ALMM of DMP and the Substitute Task Method.

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

Access this chapter

Log in via an institution
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.

Similar content being viewed by others

References

  1. Dudek-Dyduch, E.: Information systems for production management. Wyd. Poldex, Kraków (2002) (in Polish) ISBN 83-88979-12-4

    Google Scholar 

  2. Dudek-Dyduch, E.: Learning based algorithm in sheduling. Journal of Intelligent Manufacturing (JIM) 11(2), 135–143 (accepted to be published 1998)

    Google Scholar 

  3. Dudek-Dyduch, E.: Discrete determinable processes - compact knowledge-based model. Notas de Matematica No 137. Universidad de Los Andes, Merida (1993)

    Google Scholar 

  4. Dudek-Dyduch, E.: Heuristic algorithms - formal approach based on compact knowledge-based model. Notas de Matematica No 138. Universidad de Los Andes, Merida (1993)

    Google Scholar 

  5. Dudek-Dyduch, E.: Problemy reprezentacji wiedzy w systemach ekspertowych wspomagających sterowanie DPP. In: Inżynieria Wiedzy i Systemy Ekspertowe, Prace II Krajowej Konferencji, tom I, pp. 147-154. Politechnika Wrocławska, Wroław (1993)

    Google Scholar 

  6. Dudek-Dyduch, E.: Control of discrete event processes - branch and bound method. In: Proc. of IFAC/Ifors/Imacs Symposium Large Scale Systems: Theory and Applications, Chinese Association of Automation, vol. 2, pp. 573–578 (1992)

    Google Scholar 

  7. Dudek-Dyduch, E.: Formalization and analysis of problems of discrete manufacturing processes. Scientific bulletin of AGH University, Automatics, vol. 54 (1990) (in Polish)

    Google Scholar 

  8. Dudek-Dyduch, E.: Simulation of some class of discrete manufacturing processes. In: Proc. of European Congress on Simulation, Praha (1987)

    Google Scholar 

  9. Dudek-Dyduch, E., Dutkiewicz, L.: Substitution tasks method for discrete optimization. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part II. LNCS, vol. 7895, pp. 419–430. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  10. Dudek-Dyduch, E., Dyduch, T.: Learning algorithms for scheduling using knowledge based model. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 1091–1100. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  11. Dudek-Dyduch, E., Dyduch, T.: Hybrid learning method for discrete manufacturing control using knowledge based model. In: Proc. of the Third Int Conf. on Informatics, Control, Automation and Robotics, Setubal, Portugal, pp. 160–166 (2006)

    Google Scholar 

  12. Dudek-Dyduch, E., Dyduch, T.: Intelligent search algorithms in scheduling. In: Trapl, R. (ed.) Cybernetics and Systems 1996, Vienna, pp. 1228–1232 (1996)

    Google Scholar 

  13. Dudek-Dyduch, E., Dyduch, T.: Formal approach to optimization of discrete manufacturing processes. In: Hamza, M.H. (ed.) Proc. of the Twelfth IASTED Int. Conference Modelling, Identification and Control. Acta Press Zurich (1993)

    Google Scholar 

  14. Dudek-Dyduch, E., Dyduch, T.: Scheduling some class of discrete processes. In: Proc. of 12th IMACS World Congress, Paris (1988)

    Google Scholar 

  15. Dudek-Dyduch, E., Fuchs-Seliger, S.: Approximate algorithms for some tasks in management and economy. System, Modelling, Control 1(7) (1993)

    Google Scholar 

  16. Dudek-Dyduch, E., Kucharska, E.: Learning method for co-operation. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds.) ICCCI 2011, Part II. LNCS, vol. 6923, pp. 290–300. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  17. Dudek-Dyduch, E., Kucharska, E.: Optimization Learning Method for Discrete Process Control. In: ICINCO 2011, vol. 1, pp. 24–33 (2011)

    Google Scholar 

  18. Dudek-Dyduch, E., Kucharska, E., Dutkiewicz, L., Rączka, K.: ALMM Solver - A Tool for Optimization Problems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2014, Part II. LNCS(LNAI), vol. 8468, pp. 328–338. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  19. Dutkiewicz, L.: Two-Level Algorithms for Optimization of Production Processes with Resources Depending on System State. PhD thesis (2005) (in Polish)

    Google Scholar 

  20. Dutkiewicz, L., Dudek-Dyduch, E.: Substitution Tasks Method for Co-operation. In: Badica, A., Trawinski, B., Nguyen, N.T. (eds.) Recent Developments in Computational Collective Intelligence. SCI, vol. 513, pp. 103–113. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  21. Dutkiewicz, L., Kucharska, E.: Metody optymalizacyjne oparte na ogólnym schemacie modelu algebraiczno-logicznego. Pomiary, Automatyka, Robotyka 15, 178–182 (2011)

    Google Scholar 

  22. Dutkiewicz, L., Kucharska, E., Kraszewska, M.: Scheduling of preparatory work in mine - Simulation algorithms. Mineral Resources Management 24(3), 79–93 (2008) (in Polish)

    Google Scholar 

  23. Dutkiewicz, L., Kucharska, E., Rączka, K., Grobler-Dębska, K.: ST Method Based Algorithm for the Supply Routes for Multi-location Companies Problem. In: Kacprzyk, J. (ed.) AISC, pp. 2194–5357 (to appear) ISSN 2194-5357

    Google Scholar 

  24. Dyduch, T., Dudek-Dyduch, E.: Learning based algorithm in sheduling. In: Proc. of Int. Conf. on Industrial Engineering and Production Management, Lyon, vol. 1, pp. 119–128 (1997)

    Google Scholar 

  25. El-Abd, M.: On the hybridization of the artificial Bee Colony and Particle Swarm Optimization Algorithms. Journal of Artificial Intelligence and Soft Computing Research 2(2) (2012)

    Google Scholar 

  26. Horzyk, A.: How Does Generalization and Creativity Come into Being in Neural Associative Systems and How Does It Form Human-Like Knowledge?. Neurocomputing, 238–257 (2014), doi: 10.1016/j.neucom.2014.04.046

    Google Scholar 

  27. Kacprzyk, J.: Multistage Fuzzy Control: A Model-Based Approach to Control and Decision-Making. Wiley, Chichester (1997)

    Google Scholar 

  28. Kucharska, E.: Application of an algebraic-logical model for optimization of scheduling problems with retooling time depending on system state. PhD thesis (2006) (in Polish)

    Google Scholar 

  29. Kucharska, E., Dudek-Dyduch, E.: Extended Learning Method for Designation of Cooperation. In: Nguyen, N.T. (ed.) TCCI XIV 2014. LNCS, vol. 8615, pp. 136–157. Springer, Heidelberg (2014)

    Google Scholar 

  30. Lobato, F.S., Steffen Jr., J.V.: A New Multi-objective Optimization Algorithm Based on Differential Evolution and Neighborhood Exploring Evolution Strategy. Journal of Artificial Intelligence and Soft Computing Research 1(4) (2011)

    Google Scholar 

  31. Pearl, J.: Heuristics: Intelligent Search Strategies for Computer Problem Solving. Addison-Wesley Comp., Menlo Park (1984)

    Google Scholar 

  32. Tadeusiewicz, R., Izworski, A.: Learning in Neural Network - Unusual Effects of “Artificial Dreams”. In: King, I., Wang, J., Chan, L.-W., Wang, D. (eds.) ICONIP 2006, Part II. LNCS, vol. 4232, pp. 211–218. Springer, Heidelberg (2006)

    Google Scholar 

  33. Tadeusiewicz, R., Izworski, A., Bulka, J., Wochlik, I.: Unusual Effects of Artificial Dreams Encountered During Learning in “Neural Networks”. In: Yeung, D.S., Wang, X., Zhan, L., Huang, J. (eds.) Proceedings of 2005 International Conference on Machine Learning and Cybernetics, vol. 7, pp. 4205–4209. IEEE Press (IEEE catalog number 05EX1059), Guangzhou (2005)

    Google Scholar 

  34. Vijayalakshmi, G.A., Pai, M.T.: Metaheuristic Optimization of Marginal Risk Constrained Long-Short Portfolios. Journal of Artificial Intelligence and Soft Computing Research 2(2) (2012)

    Google Scholar 

  35. Vincke, P.: Multicriteria decision-aid. John Wiley & Sons (1992)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Automatics and Biomedical Engineering, AGH University of Science and Technology, Karków, Poland

    Ewa Dudek-Dyduch

Authors
  1. Ewa Dudek-Dyduch
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ewa Dudek-Dyduch .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Częstochowa, Poland

    Rafal Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Dudek-Dyduch, E. (2015). Algebraic Logical Meta-Model of Decision Processes - New Metaheuristics. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9119. Springer, Cham. https://doi.org/10.1007/978-3-319-19324-3_48

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19324-3_48

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19323-6

  • Online ISBN: 978-3-319-19324-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation