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Transgenetic Algorithm: A New Endosymbiotic Approach for Evolutionary Algorithms

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Foundations of Computational Intelligence Volume 3

Part of the book series: Studies in Computational Intelligence ((SCI,volume 203))

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Summary

This chapter introduces a class of evolutionary algorithms whose inspiration comes from living processes where cooperation is the main evolutionary strategy. The proposed technique is called Transgenetic Algorithms and is based on two recognized driving forces of evolution: the horizontal gene transfer and the endosymbiosis. These algorithms perform a stochastic search simulating endosymbiotic interactions between a host and a population of endosymbionts. The information exchanging between the host and ensosymbionts is intermediated by agents, called transgenetic vectors, who are inspired on natural mechanisms of horizontal gene transfer. The proposed approach is described and a didactic example with the well-known Traveling Salesman Problem illustrates its basic components. Applications of the proposed technique are reported for two NP-hard combinatorial problems: the Traveling Purchaser Problem and the Bi-objective Minimum Spanning Tree Problem.

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Authors and Affiliations

  1. Universidade Federal do Rio Grande do Norte, Campus Universitário Lagoa Nova, Natal, Brazil

    Elizabeth F. Gouvêa Goldbarg & Marco C. Goldbarg

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  1. Elizabeth F. Gouvêa Goldbarg
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  2. Marco C. Goldbarg
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Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071-2259, Auburn, Washington, USA

    Ajith Abraham

  2. College of Business Administration Quantitative and Information System Department, Kuwait University, P.O. Box 5486, 13055, Safat, Kuwait

    Aboul-Ella Hassanien

  3. Université Paris XII Fac. Sciences, LERISS, 61 avenue du Général de Gaulle Building P2 - Room 350, 94010, Créteil, France

    Patrick Siarry

  4. Department of Computer Science, University of Pretoria, 0002, Pretoria, South Africa

    Andries Engelbrecht

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Goldbarg, E.F.G., Goldbarg, M.C. (2009). Transgenetic Algorithm: A New Endosymbiotic Approach for Evolutionary Algorithms. In: Abraham, A., Hassanien, AE., Siarry, P., Engelbrecht, A. (eds) Foundations of Computational Intelligence Volume 3. Studies in Computational Intelligence, vol 203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01085-9_14

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  • DOI: https://doi.org/10.1007/978-3-642-01085-9_14

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