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Evolving coordinated quadruped gaits with the HyperNEAT generative encoding

It is demonstrated that HyperNEAT, a new and promising generative encoding for evolving neural networks, can evolve quadruped gaits without an engineer manually decomposing the problem.
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Investigating whether hyperNEAT produces modular neural networks

The first documented case of HyperNEAT producing a modular phenotype is presented, but the inability to encourage modularity on harder problems where modularity would have been beneficial suggests that more work is needed to increase the likelihood that Hyper NEAT and similar algorithms produce modular ANNs in response to challenging, decomposable problems.
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HybrID: A Hybridization of Indirect and Direct Encodings for Evolutionary Computation

A new algorithm is proposed, a Hybridized Indirect and Direct encoding (HybrID), which discovers the regularity of a problem with an indirect encoding and accounts for irregularities via a direct encoding, suggesting that hybridizing indirect and direct encodings can be an effective way to improve the performance of evolutionary algorithms.
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Harnessing Digital Evolution

In digital evolution, self-replicating computer programs-digital organisms-experience mutations and selective pressures, potentially producing computational systems that, like natural organisms,…
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Automatically generating adaptive logic to balance non-functional tradeoffs during reconfiguration

This paper introduces an evolutionary computation-based approach to automatically evolve adaptation paths that safely transition an executing system from its current configuration to its desired target configuration, while balancing tradeoffs between functional and non-functional requirements.
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Evolving quorum sensing in digital organisms

This paper demonstrates the evolution of a quorum sensing behavior in populations of digital organisms and shows that digital organisms are capable of evolving a strategy to collectively suppress self-replication when the population density reaches a specific, evolved threshold.
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Evolution of Resistance to Quorum Quenching in Digital Organisms

The results show that digital organisms can serve as a model to study the evolution and disruption of QS, potentially informing wet-lab studies aimed at identifying targets for anti-infective development.
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Directed Evolution of Communication and Cooperation in Digital Organisms

The results demonstrate that digital evolution can produce organisms capable of distributed problem solving through interactions between members of the population and their environment.
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Evolution of an Adaptive Sleep Response in Digital Organisms

It is observed that diminishing resource availability can promote adaptive sleep responses in digital organisms even when there is an opportunity cost associated with sleeping.
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Evolution of Cooperative Information Gathering in Self-Replicating Digital Organisms

The contributions of this work are to demonstrate that cooperative information gathering can evolve in digital organisms and to provide insight into the fundamental processes governing evolution of such behavior.
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