%0 Conference Paper %1 Huang:2003:gecco %A Huang, Chien-Feng %B Genetic and Evolutionary Computation -- GECCO-2003 %C Chicago %D 2003 %E Cantú-Paz, E. %E Foster, J. A. %E Deb, K. %E Davis, D. %E Roy, R. %E O'Reilly, U.-M. %E Beyer, H.-G. %E Standish, R. %E Kendall, G. %E Wilson, S. %E Harman, M. %E Wegener, J. %E Dasgupta, D. %E Potter, M. A. %E Schultz, A. C. %E Dowsland, K. %E Jonoska, N. %E Miller, J. %I Springer-Verlag %K AIS, Algorithms, Genetic immune mate selection system, %P 1041--1052 %T Using an Immune System Model to Explore Mate Selection in Genetic Algorithms %U http://www.springerlink.com/app/home/contribution.asp?wasp=804ttvxwwp6x8clrrvv3&referrer=parent&backto=issue,114,130;journal,175,1398;linkingpublicationresults,id:105633,1 %V 2723 %X When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulations of the search space are two central themes. In this paper, an immune system model is adopted to develop a framework for exploring the role of mate selection in GAs with respect to these two issues. The experimental results reported in the paper will shed more light into how mate selection schemes compare to traditional selection schemes. In particular, we show that dissimilar mating is beneficial in identifying multiple peaks, yet harmful in maintaining subpopulations of the search space. %@ 3-540-40602-6

@inproceedings{Huang:2003:gecco, abstract = {When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulations of the search space are two central themes. In this paper, an immune system model is adopted to develop a framework for exploring the role of mate selection in GAs with respect to these two issues. The experimental results reported in the paper will shed more light into how mate selection schemes compare to traditional selection schemes. In particular, we show that dissimilar mating is beneficial in identifying multiple peaks, yet harmful in maintaining subpopulations of the search space.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Chicago}, author = {Huang, Chien-Feng}, biburl = {https://www.bibsonomy.org/bibtex/276d36718f254e17d456631d2b4b114da/brazovayeye}, booktitle = {Genetic and Evolutionary Computation -- GECCO-2003}, editor = {Cant{\'u}-Paz, E. and Foster, J. A. and Deb, K. and Davis, D. and Roy, R. and O'Reilly, U.-M. and Beyer, H.-G. and Standish, R. and Kendall, G. and Wilson, S. and Harman, M. and Wegener, J. and Dasgupta, D. and Potter, M. A. and Schultz, A. C. and Dowsland, K. and Jonoska, N. and Miller, J.}, email = {cfhuang@lanl.gov}, interhash = {61a8e3d9127b22c0cfb086a2c7ee6624}, intrahash = {76d36718f254e17d456631d2b4b114da}, isbn = {3-540-40602-6}, keywords = {AIS, Algorithms, Genetic immune mate selection system,}, month = {12-16 July}, notes = {GECCO-2003. A joint meeting of the twelfth International Conference on Genetic Algorithms (ICGA-2003) and the eights Annual Genetic Programming Conference (GP-2003)}, pages = {1041--1052}, publisher = {Springer-Verlag}, publisher_address = {Berlin}, series = {LNCS}, timestamp = {2008-06-19T17:41:56.000+0200}, title = {Using an Immune System Model to Explore Mate Selection in Genetic Algorithms}, url = {http://www.springerlink.com/app/home/contribution.asp?wasp=804ttvxwwp6x8clrrvv3&referrer=parent&backto=issue,114,130;journal,175,1398;linkingpublicationresults,id:105633,1}, volume = 2723, year = 2003 }