H. J. Pierrot and R. Hinterding, "Using Multi-chromosomes to Solve a Simple Mixed Integer Problem," in Proceedings of the Tenth Australian Joint Conference on Artificial Intelligence. Springer, 1997, pp. 137--146. Home/Search Document Details and Download
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....the speed significantly (40 improvement was seen in a test case) One modification that may improve both the e#ciency and the layout of the genetic algorithm is the use of multiple chromosomes in the genome of an individual. The use of multiple chromosomes is not common, but examples do exist [8]. In this application, the use of two chromosomes seems like a natural representation of the parameter space, and genetic algorithms generally do best with the most natural representations [5] For example, one chromosome would contain all the # ij and another would contain all the g ijk . Then ....
H. J. Pierrot and R. Hinterding, Using multi-chromosomes to solve a simple mixed integer problem, Australian Joint Conference on Artificial Intelligence, 1997, pp. 137--146.
Evolution of Fuzzy Controllers with Multi-Chromosomal.. - Spitzlinger, Mayer (Correct)
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H. J. Pierrot and R. Hinterding, "Using Multi-chromosomes to Solve a Simple Mixed Integer Problem," in Proceedings of the Tenth Australian Joint Conference on Artificial Intelligence. Springer, 1997, pp. 137--146.
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