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GECCO
2005
Springer

Multi-chromosomal genetic programming

13 years 9 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by the existence of multiple chromosomes in natural evolution, particularly in plants. A multi-chromosomal system usually requires a dominance system and subsequently dominance in nature and in previous artificial evolutionary systems has also been considered. An implementation of a multi-chromosomal system is presented with initial results which support the use of multi-chromosomal techniques in evolutionary algorithms. Categories and Subject Descriptors
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
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