Emergence of population structure in socio-cognitively inspired ant colony optimization

Authors

  • Aleksander Byrski AGH University of Science and Technology
  • Ewelina Swiderska AGH University of Science and Technology
  • Jakub Lasisz AGH University of Science and Technology
  • Marek Kisiel-Dorohinicki AGH University of Science and Technology
  • Tom Lenaerts Universite Libre de Bruxelles
  • Dana Samson Catholique Universite de Louvain
  • Bipin Indurkhya Jagiellonian University

DOI:

https://doi.org/10.7494/csci.2018.19.1.2594

Abstract

A metaheuristic proposed by us recently, Ant Colony  Optimization (ACO) hybridized with socio-cognitive inspirations, turned out to generate interesting results compared to classic ACO. Even though it does not always find better solutions to the considered problems, it usually finds sub-optimal solutions  usually. Moreover, instead of a trial-and-error approach to configure the parameters of the ant species in the population, in our approach, the actual structure of the population emerges from predefined species-to-species ant migration strategies. Experimental results of our approach are compared against classic ACO and selected socio-cognitive versions of this algorithm.

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References

Bugajski I., Listkiewicz P., Byrski A., Kisiel-Dorohinicki M., Korczynski W., Lenaerts T., Samson D., Indurkhya B., Now A.: Enhancing Particle Swarm Op- timization with Socio-cognitive Inspirations. In: Procedia Computer Science, vol. 80, pp. 804 – 813, 2016. ISSN 1877-0509. URL http://dx.doi.org/http: //dx.doi.org/10.1016/j.procs.2016.05.370. International Conference on Computational Science 2016, ICCS 2016, 6-8 June 2016, San Diego, California, USA.

Bukowski H.: What Influences Perspective Taking. Ph.D. thesis, Catholic University of Louvain, 2014.

Bukowski H., Curtain A., Samson D.: Can you resist the influence of others? Altercentrism, egocentrism and interpersonal personality traits. In: Proc. Of the Annual Meeting of the Belgian Association for Psychological Sciences (BAPS). Universite catholique de Louvain, 2013.

Bukowski H., Samson D.: Can emotions influence level-1 visual perspective tak- ing? In: Cognitive Neuroscience, vol. 7(1–4), pp. 182–191, 2016.

Byrski A., Swiderska E., Lasisz J., Kisiel-Dorohinicki M., Lenaerts T., Samson D., Indurkhya B., Now ́e A.: Socio-cognitively inspired ant colony optimization. In: Journal of Computational Science (in press), 2017.

Chira C., Dumitrescu D., Pintea C.: Heterogeneous Sensitive Ant Model for Combinatorial Optimization. In: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, GECCO ’08, pp. 163–164. ACM, New York, NY, USA, 2008. ISBN 978-1-60558-130-9. URL http://dx.doi.org/10. 1145/1389095.1389120.

Choudhury S., Blakemore S.J., Charman T.: Social cognitive development during adolescence. In: Social cognitive and affective neuroscience, vol. 1(3), pp. 165– 174, 2006.

Dorigo M., Stu ̈tzle T.: Ant Colony Optimization. Bradford Books, 2004.

Dorigo M. G.D.C.: The Ant Colony Optimization Meta-Heuristic. In: In D. Corne, M. Dorigo, F. Glover, editors, New Ideas in Optimization, McGraw-Hill, 11-32., 1999.

Dorigo M. G.D.C..L.M.G.: Ant Algorithms for Discrete Optimization. Tech. rep., IRIDIA/98-10, Universit ́e Libre de Bruxelles, Belgium, 1999.

Feldman H., Rand M.E.: Egocentrism-Altercentrism in the Husband-Wife Reltionship. In: Journal of Marriage and Family, vol. 27(3), pp. 386–391, 1965.

Gardner M.: Mathematical Games—The fantastic combinations of John Con- way’s new solitaire game ,,life”. In: Scientific American, vol. 223, pp. 120–123, 1970.

Gutin G.: Traveling salesman problem. In: C.A. Floudas, P.M. Pardalos, eds., Encyclopedia of Optimization, pp. 3935–3944. Springer US, 2009. ISBN 978- 2017/07/13; 13:05 str. 15/16 387-74758-3. URL http://dx.doi.org/10.1007/978-0-387-74759-0_687.

Johnson M., Demiris Y.: Perceptual Perspective Taking and Action Recognition. In: International Journal of Advanced Robotic Systems, vol. 2(4), pp. 301–308, 2005.

Johnson S.: Emergence: The Connected Lives of Ants, Brains, Cities. Scribner, New York, NY, 2001.

Nadel J.: Some reasons to link imitation and imitation recognition to theory of mind. In: J. Doric, J. Proust, eds., Simulation and Knowledge of Action, pp. 119–135. John Benjamins, New York, 2002.

Now ́e A., Verbeeck K., Vrancx P.: Multi-type Ant Colony: The Edge Disjoint Paths Problem. In: M.e.a. Dorigo, ed., Ant Colony Optimization and Swarm Intelligence, pp. 202–213. Springer, 2004. ISBN 978-3-540-22672-7.

Pais D.: Emergent Collective Behavior in Multi-Agent Systems: An Evolutionary Perspective. In: , 2012.

Sekara M., Kowalski M., Byrski A., Indurkhya B., Kisiel-Dorohinicki M., Samson D., Lenaerts T.: Multi-pheromone ant Colony Optimization for Socio-cognitive Simulation Purposes. In: Procedia Computer Science, vol. 51, pp. 954–963, 2015. Int. Conf. On Comp. Science ICCS 2016.

Swiderska E, Lasisz J.,Byrski A.,Lenaerts T.,Samson D .,Indurkhya B., Now ́e A., Kisiel-Dorohinicki M.: Measuring Diversity of Socio-Cognitively Inspired ACO Search, pp. 393–408. Springer International Publishing, Cham, 2016. ISBN 978-3-319-31204-0. URL http://dx.doi.org/10.1007/978-3-319-31204-0_ 26.

Wolpert D.H., Macready W.G.: No free lunch theorems for optimization. In: IEEE Transactions on Evolutionary Computation, vol. 1(1), pp. 67–82, 1997.

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Published

2018-02-19

How to Cite

Byrski, A., Swiderska, E., Lasisz, J., Kisiel-Dorohinicki, M., Lenaerts, T., Samson, D., & Indurkhya, B. (2018). Emergence of population structure in socio-cognitively inspired ant colony optimization. Computer Science, 19(1), 81. https://doi.org/10.7494/csci.2018.19.1.2594

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