Abstract
We build on recent advances in the design of self-organizing interaction networks by introducing a sexual variant of an existing asexual, mutation-limited algorithm. Both the asexual and sexual variants are tested on benchmark optimization problems with varying levels of problem difficulty, deception, and epistasis. Specifically, we investigate algorithm performance on Massively Multimodal Deceptive Problems and NK Landscapes. In the former case, we find that sexual recombination improves solution quality for all problem instances considered; in the latter case, sexual recombination is not found to offer any significant improvement. We conclude that sexual recombination in self-organizing interaction networks may improve solution quality in problem domains with deception, and discuss directions for future research.
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References
Aguirre, H.E., Tanaka, K.: Genetic algorithms on NK-landscapes: Effects of selection, drift, mutation, and recombination. In: Raidl, G.R., Cagnoni, S., Cardalda, J.J.R., Corne, D.W., Gottlieb, J., Guillot, A., Hart, E., Johnson, C.G., Marchiori, E., Meyer, J.-A., Middendorf, M. (eds.) EvoIASP 2003, EvoWorkshops 2003, EvoSTIM 2003, EvoROB/EvoRobot 2003, EvoCOP 2003, EvoBIO 2003, and EvoMUSART 2003. LNCS, vol. 2611, pp. 131–142. Springer, Heidelberg (2003)
Alba, E., Dorronsoro, B.: The exploration/exploitation tradeoff in dynamic cellular genetic algorithms. IEEE Transactions on Evolutionary Computation 9(2), 126–142 (2005)
Aldana, M., Balleza, E., Kauffman, S.A., Resendis, O.: Robustness and evolvability in genetic regulatory networks. Journal of Theoretical Biology 245, 433–448 (2007)
Barrat, A., Barthélemy, M., Vespignani, A.: Dynamical Processes on Complex Networks. Cambridge University Press, Cambridge (2008)
Gasparri, A., Panzieri, S., Pascucci, F., Ulivi, G.: A spatially structured genetic algorithm over complex networks for mobile robot localisation. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 4277–4282. IEEE Press, Los Alamitos (2007)
Giacobini, M., Preuss, M., Tomassini, M.: Effects of scale-free and small-world topologies on binary coded self-adaptive cea. In: Gottlieb, J., Raidl, G.R. (eds.) Evolutionary Computation and Combinatorial Optimization, pp. 86–98. Springer, Heidelberg (2006)
Giacobini, M., Tomassini, M., Tettamanzi, A.: Takeover times curves in random and small-world structured populations. In: Beyer, H.G. (ed.) Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2005, pp. 1333–1340. ACM Press, New York (2005)
Giacobini, M., Tomassini, M., Tettamanzi, A., Alba, E.: Selection intensity in cellular evolutionary algorithms for regular lattices. IEEE Transactions on Evolutionary Computation 9(5), 489–505 (2005)
Goldberg, D., Deb, K., Horn, J.: Massive multimodality, deception, and genetic algorithms. In: Männer, R., Manderick, B. (eds.) Parallel Problem Solving From Nature, pp. 37–46. North-Holland, Amsterdam (1992)
Hauert, C., Doebeli, M.: Spatial structure often inhibits the evolution of cooperation in the snowdrift game. Nature 428, 643–646 (2004)
Kauffman, S.A.: The Origins of Order: Self-Organization and Selection in Evolution. Oxford University Press, Oxford (1993)
Kerr, B., Riley, M.A., Feldman, M.W., Bohannan, B.J.M.: Local dispersal promotes biodiversity in a real life game of rock-paper-scissors. Nature 418, 171–174 (2002)
Kirley, M., Stewart, R.: An analysis of the effects of population structure on scalable multiobjective optimization problems. In: Thierens, D. (ed.) Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2007, pp. 845–852. ACM Press, New York (2007)
Kirley, M., Stewart, R.: Multiobjective optimization on complex networks. In: Obayashi, S., Deb, K., Poloni, C., Hiroyasu, T., Murata, T. (eds.) EMO 2007. LNCS, vol. 4403, pp. 81–95. Springer, Heidelberg (2007)
Newman, M.E.J., Barabási, A.L., Watts, D.J. (eds.): The Structure and Dynamics of Networks. Princeton University Press, Princeton (2006)
Nowak, M.A., May, R.M.: Evolutionary games and spatial chaos. Nature 359, 826–829 (1992)
Ostman, B., Hintze, A., Adami, C.: Impact of epistasis on evolutionary adaptation. arXiv:0909.3506v1 (2009)
Pacheco, J.M., Traulsen, A., Ohtsuki, H., Nowak, M.A.: Repeated games and direct reciprocity under active linking. Journal of Theoretical Biology 250, 723–731 (2008)
Payne, J.L., Eppstein, M.J.: Evolutionary dynamics on scale-free interaction networks. IEEE Transactions on Evolutionary Computation 13(4), 895–912 (2009)
Preuss, M., Lasarczyk, C.: On the importance of information speed in structured populations. In: Yao, X., Burke, E.K., Lozano, J.A., Smith, J., Merelo-Guervós, J.J., Bullinaria, J.A., Rowe, J.E., Tiňo, P., Kabán, A., Schwefel, H.-P. (eds.) PPSN 2004. LNCS, vol. 3242, pp. 91–100. Springer, Heidelberg (2004)
Rand, D.R., Dreber, A., Ellingsen, T., Fudenberg, D., Nowak, M.A.: Positive interactions promote public cooperation. Science 325, 1272–1275 (2009)
Reichenbach, T., Mobilia, M., Frey, E.: Mobility promotes and jeopardizes biodiversity in rock-paper-scissors games. Nature 448, 1046–1049 (2007)
Rudolph, G.: On takeover times in spatially structured populations: array and ring. In: Lai, K.K., Katai, O., Gen, M., Lin, B. (eds.) Proceedings of the Second Asia-Pacific Conference on Genetic Algorithms and Applications, APGA-2000, pp. 144–151. Global Link Publishing Company, Hong Kong (2000)
Sarma, J., De Jong, K.: An analysis of the effect of neighborhood size and shape on local selection algorithms. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.) PPSN 1996. LNCS, vol. 1141, pp. 236–244. Springer, Heidelberg (1996)
Werfel, J., Bar-Yam, Y.: The evolution of reproductive restraint through social communication. Proceedings of the National Academy of Science 101(30), 11019–11024 (2004)
Whitacre, J.M., Sarker, R.A., Pham, Q.T.: The self-organization of interaction networks for nature-inspired optimization. IEEE Transactions on Evolutionary Computation 12(2), 220–230 (2008)
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Payne, J.L., Moore, J.H. (2010). Sexual Recombination in Self-Organizing Interaction Networks. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2010. Lecture Notes in Computer Science, vol 6024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12239-2_5
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DOI: https://doi.org/10.1007/978-3-642-12239-2_5
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