Abstract
Inspired by the overlap gene expression in biological study, this paper proposes a novel evolutionary algorithm-EAOGE i.e. Evolutionary Algorithm based on Overlapped Gene Expression. Different from existing works, EAOGE suggests a new expression structure of genes with probabilities of overlapped expression for some segments. The main contributions are: (1) Proposing a novel model and an algorithm of gene expression while borrowing some ideas from artificial immunity algorithm; (2) Analyzing the expressing space and encode characteristic of the new model; (3) The extensive experiments in function finding shows that new model is 2.8~9.7 times faster than usual GEP method, and in higher-degree polynomial function finding, the success rate of EAOGE is over 10 times than usual GEP.
This paper was supported by Grant of National Science Foundation of China (60073046), Sichuan Major Science and Technology Project (04SG1640).
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The extended version of this paper with appendix, http://211.83.120.2/~tangchangjie/buf/download/pj/OverlappeGEP.pdf
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Peng, J., Tang, Cj., Zhang, J., Yuan, Ca. (2005). Evolutionary Algorithm Based on Overlapped Gene Expression. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_23
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DOI: https://doi.org/10.1007/11539902_23
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