Evolutionary Re-Adaptation of Neurocontrollers in Changing Environments
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We review recent experiments in evolutionary robotics carried out in dynamic environments and across different robotic platforms. We then introduce a new evolutionary approach where robots are evolved for their ability to adapt online. Several experiments ...
Evolutionary robotics - as other adaptive methods, such as reinforcement learning and learning classifier systems - can take considerable time and resources which require a careful evaluation of the hardware tools and methodologies employed. We outline a s ...
Co-evolution (i.e. the evolution of two or more competing populations with coupled fitness) has several interesting features that may potentially enhance the power of adaptation of artificial evolution. In particular, as discussed by Dawkins and Krebs [2], ...
In the simplest scenario of two co-evolving populations in competition with each other, fitness progress is achieved at disadvantage of the other population's fitness. The everchanging fitness landscape caused by the competing species (named the "Red Queen ...
