The algorithmic beauty of plants
The algorithmic beauty of plants
An investigation of several parallel genetic algorithms
OUG-12 Proceedings of the 12th Occam User Group technical meeting on Tools and techniques for transputer applications
Optimisation of artificial neural network structure using genetic techniques on multiple transputers
Proceedings of the world transputer user group (WOTUG) conference on Transputing '91
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Designing Neural Networks using Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Fine-Grained Parallel Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Effects of Isolation in a Distributed Population Genetic Algorithm
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Computer simulations of genetic adaptation: parallel subcomponent interaction in a multilocus model
Computer simulations of genetic adaptation: parallel subcomponent interaction in a multilocus model
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Abstract (developmental) genetic representations are schemes where each genotype encodes a program for the construction of a phenotype. A new method for contriving abstract genetic representations is presented, based upon Kauffman's ideas regarding biological development [13-16]. Phenogenesis is controlled by genotype via cell replication and differentiation. Comparison is made with the earlier published methods of Gruau [9] and Kitano [18]. It is argued that greater expressive power is obtained using Kauffman networks. The new method was tested in the artificial evolution of morphology and finally successfully applied to the synthesis of structure in dynamical neural networks.