How co-evolution can enhance the adaptation power of artificial evolution: Implications for evolutionary robotics
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A review with 15 refs. Directed mol. evolution of enzymes and proteins has emerged as an extremely powerful method to create proteins with novel properties, both for practical applications as well as for mechanistic studies. To demonstrate the underlying p ...
Cytochrome c peroxidase (CCP) from Saccharomyces cerevisiae was subjected to directed mol. evolution to generate mutants with increased activity against the classical peroxidase substrate, guaiacol, thus changing the substrate specificity of CCP from the p ...
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In the last few years several researchers have resorted to artificial evolution (e.g. genetic algorithms) and learning techniques (e.g. neural networks) for studying the interaction between learning and evolution. These studies have been conducted for two ...
Evolutionary robotics is a new technique for the automatic creation of autonomous robots. Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as autonomous artificial organisms that develop their own skills in clos ...
Cytochrome c peroxidase (I) from Saccharomyces cerevisiae was subjected to directed mol. evolution to generate mutants with increased activity against ABTS [2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)]. Using a combination of DNA shuffling and s ...
Co-evolution (i.e. the evolution of two or more competing populations with coupled fitness) has several features that may potentially enhance the power of adaptation of artificial evolution. In particular, as discussed by Dawkins and Krebs [3], competing p ...
Artificial evolution of computer software (evolutionary neural networks, genetic programming, evolutionary fuzzy systems, etc.) has been shown to generate software that in many cases is more performant than that designed by engineers. Evolved software perf ...
We address two issues in Evolutionary Robotics, namely the genetic encoding and the performance criterion, also known as fitness function. For the first aspect, we suggest to encode mechanisms for parameter self-organization, instead of the parameters them ...
Evolutionary robotics is the attempt to develop robots through a self-organized process based on artificial evolution. This approach stresses the importance of the study of systems that have a body and that are situated in a physical environment, and which ...
