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Towards a dynamic modeling of the predator prey problem

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Abstract

This article addresses a new dynamic optimization problem (DOP) based on the Predator-Prey (PP) relationship in nature. Indeed, a PP system involves two adversary species where the predator’s objective is to hunt the prey while the prey’s objective is to escape from its predator. By analogy to dynamic optimization, a DOP can be seen as a predation between potential solution(s) in the search space, which represents the predator, and the moving optimum, as the prey. Therefore we define the dynamic predator-prey problem (DPP) whose objective is to keep track of the moving prey, so as to minimize the distance to the optimum. To solve this problem, a dynamic approach that continuously adapts to the changing environment is required. Accordingly, we propose a new evolutionary approach based on three main techniques for DOPs, namely: multi-population scheme, random immigrants, and memory of past solutions. This hybridization of methods aims at improving the evolutionary approaches ability to deal with DOPs and to restrain as much as possible their drawbacks. Our computational experiments show that the proposed approach achieves high performance for DPP and and competes with state of the art approaches.

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Acknowledgements

This research has been partially funded by project number 8.06/5.47.4142 in collaboration with the VSB-Technical University of Ostrava and Universidad de Málaga UMA/FEDER FC14-TIC36, programa de fortalecimiento de las capacidades de I+D+i en las universidades 2014-2015, de la Consejería e Economía, Innovación, Ciencia y Empleo, cofinanciado por el fondo europeo de desarrollo regional (FEDER). Also, partially funded by the Spanish MINECO project TIN2014-57341-R (http://moveon.lcc.uma.es).

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Authors and Affiliations

  1. LARODEC Laboratory, ISG of Tunis, 41 Rue de la Liberté, Le Bardo, Tunisia

    Hajer Ben-Romdhane & Saoussen Krichen

  2. Boulevard Louis Pasteur s/n, Universidad de Málaga, Málaga, Spain

    Enrique Alba

Authors
  1. Hajer Ben-Romdhane
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  2. Enrique Alba
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  3. Saoussen Krichen
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Correspondence to Hajer Ben-Romdhane.

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Ben-Romdhane, H., Alba, E. & Krichen, S. Towards a dynamic modeling of the predator prey problem. Appl Intell 44, 755–770 (2016). https://doi.org/10.1007/s10489-015-0727-1

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