PROBLEMAS DE OPTIMIZACI ́ON DIN ́AMICOS: ENFOQUES Y PERSPECTIVAS

Authors

  • Antonio D. Masegosa Facultad de Ingenier ́ıa, Universidad de Deusto, 48007, Bilbao, Espa ̃na. DeustoTech-Fundaci ́on Deusto, Fundaci ́on Deusto, 48007, Bilbao, Espa ̃na. IKERBASQUE, Fundaci ́on Vasca para la Ciencia, 48011, Bilbao
  • David A. Pelta Departamento de Ciencias de la Computaci ́on e Inteligencia Artificial, E.T.S. de Ingenier ́ıas Inform ́atica y de Telecomunicaci ́on Universidad de Granada, 18014, Granada

Keywords:

Dynamic Optimization Problems, Dynamic Environments, Metaheuristics, Generators, Performance Measures, Tutorial

Abstract

When we face an optimization problem whose definition (in some aspect) changes over the time, we are in the presence of a Dynamic Optimization Problem (DOP). The aspects that can change are the objective function, the variables’ domain, the appearance/disappearance of variables or constraints, etc. This paper aims at providing a first introduction to those who are interested in the topic. Concretely, we present the DOPs, the most common performance measures as well as the methods used to solve them. We also briefly describe some of the most recent reviews and comment some current challenges and research opportunities in DOPs.

Downloads

Download data is not yet available.

Published

2023-04-28

How to Cite

Masegosa, A. D., & Pelta, D. A. (2023). PROBLEMAS DE OPTIMIZACI ́ON DIN ́AMICOS: ENFOQUES Y PERSPECTIVAS. Investigación Operacional, 38(2). Retrieved from https://revistas.uh.cu/invoperacional/article/view/4366

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.