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BIPOP: A New Algorithm with Explicit Exploration/Exploitation Control for Dynamic Optimization Problems

  • Enrique AlbaEmail author
  • Hajer Ben-Romdhane
  • Saoussen Krichen
  • Briseida Sarasola
Part of the Studies in Computational Intelligence book series (SCI, volume 490)

Abstract

Dynamic optimization problems (DOPs) have proven to be a realistic model of dynamic environments where the fitness function, problem parameters, and/or problem constraints are subject to changes. Evolutionary algorithms (EAs) are getting pride of place in solving DOPs due to their ability to match with Nature evolution processes. Several approaches have been presented over the years to enhance the performance of EAs to locate the moving optima in the landscape and avoid premature convergence. We address in this chapter a new bi-population EA augmented by a memory of past solutions and validate it with the dynamic knapsack problem (DKP). We suggest, through the use of two populations, to conduct the search to different directions in the problem space: the first population takes in charge exploring while the second population is responsible for exploiting. Once an environment change is detected, knowledge acquired from the old environment is stored in order to recall it whenever the same state reappears. We illustrate our study by presenting several experiments and compare our results to those of standard algorithms.

Keywords

Genetic Algorithm Local Search Dynamic Environment Variable Neighborhood Search Dynamic Optimization Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Enrique Alba
    • 1
    Email author
  • Hajer Ben-Romdhane
    • 2
  • Saoussen Krichen
    • 3
  • Briseida Sarasola
    • 1
  1. 1.Departamento de Lenguajes y Ciencias de la ComputaciónUniversidad de Málaga, E.T.S.I. InformáticaMálagaSpain
  2. 2.LARODEC Laboratory, Institut Supérieur de GestionUniversity of TunisLe BardoTunisia
  3. 3.FSJEG de JendoubaUniversity of JendoubaJendoubaTunisia

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