Modeling Building-Block Interdependency
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
A Genetic Hybrid For Critical Heat Flux Function Approximation
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Linkage Problem, Distribution Estimation, and Bayesian Networks
Evolutionary Computation
Linkage identification by non-monotonicity detection for overlapping functions
Evolutionary Computation
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A good performance of traditional genetic algorithm is determined by its ability to identify building blocks and grow them to larger ones. To attain this objective a properly arranged chromosome is needed to ensure that building blocks will survive the application of recombination operators. The proposed algorithm periodically rearranges the order of genes in the chromosome while the actual information about the inter-gene dependencies is calculated on-line through the run. Standard 2-point crossover, operating on the adapted chromosomal structure, is used to generate new solutions. Experimental results show that this algorithm is able to solve separable problems with strong intra building block dependencies among genes as well as the hierarchical problems.