Evolutionary Algorithms In Robotics

Evolutionary algorithms incorporate principles from biological population genetics to perform search, optimization, and learning. This article discusses issues arising in the application of evolutionary algorithms to problems in robotics. INTRODUCTION The field of robotics offers an endless supply of difficult problems, requiring an equally impressive array of methods for their solution. One class of methods that has shown its utility on a number of relevant problems is called Evolutionary Computation [1]. This term applies to computational methods that incorporate principles from biological population genetics to perform search, optimization, and machine learning, and includes a variety of specific formulations with names such as genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. This article will present an overview of evolutionary algorithms, and discuss selected issues concerning their application to robotics. OVERVIEW OFEVOLUTIONARY ALG..