The phenomenon of Jumping genes was initially discovered by Nobel Laureate, Barbara McClintock, in her work on maize chromosome in fifties. The Jumping genes transpose from one position to another in horizontal fashion within the same chromosome or even to other chromosomes. In this paper, it is to present how this genetic transposition, after transforming into a computational method, can enhance the evolutionary multiobjective optimization. The fundamental concept, design of operations, performance justification and applications of the Jumping Gene evolutionary approach will be outlined. © 2012 Springer-Verlag GmbH.
CITATION STYLE
Tang, W. K. S., Yeung, C. S. H., & Man, K. F. (2012). A jumping gene evolutionary approach for multiobjective optimization. In Advances in Intelligent and Soft Computing (Vol. 150 AISC, pp. 1–14). https://doi.org/10.1007/978-3-642-28664-3_1
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