Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Life: An Introduction to Complex Systems Biology (Understanding Complex Systems)
Life: An Introduction to Complex Systems Biology (Understanding Complex Systems)
Evolution of discrete gene regulatory models
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks
Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks
Analysis of attractor distances in Random Boolean Networks
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
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In this work we address the issue of designing a Boolean network such that its attractors are maximally distant. The design objective is converted into an optimisation problem, that is solved via an iterated local search algorithm. This technique proves to be effective and enables us to design networks with size up to 200 nodes. We also show that the networks obtained through the optimisation technique exhibit a mixture of characteristics typical of networks in the critical and chaotic dynamical regime.