FUZZY OPTIMIZATION MODELS BASED METAHEURISTICS

Authors

  • J.M. Cadenas Departamento de Ingenier´ıa de la Informaci´on y las Comunicaciones. Facultad de Inform´atica Universidad de Murcia
  • J.L. Verdegay Departamento de Ciencias de la Computaci´on e Inteligencia Artificial. E.T.S. de Ingenier´ıa Inform´atica Universidad de Granada

Keywords:

Fuzzy Linear Programming, Fuzzy Optimization, Heuristics Algorithms, Intelligent Sys- tems, Decision Support Systems

Abstract

Fuzzy Linear Programming models and methods has been one of the most and well studied topics inside the
broad area of Soft Computing. Its applications as well as practical realizations can be found in all the real world
areas. In this paper a basic introduction to the main models and methods in fuzzy mathematical programming,
with special emphasis on those developed by the authors, is presented. As a whole, Linear Programming
problems with fuzzy costs, fuzzy constraints and fuzzy coefficients in the technological matrix are analyzed.
Finally, future research and development lines are also pointed out by focusing on fuzzy sets based heuristic
algorithms

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Published

2023-06-09

How to Cite

Cadenas, J., & Verdegay, J. (2023). FUZZY OPTIMIZATION MODELS BASED METAHEURISTICS. Investigación Operacional, 29(3). Retrieved from https://revistas.uh.cu/invoperacional/article/view/6267

Issue

Vol. 29 No. 3 (2008): Investigacion Operacional

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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