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Evolution of ultrasimple virtual robots

Dan Ashlock, Janet Walker, James H. Oliver

Year
2002
Citations
4

Abstract

A genetic algorithm is presented to design virtual robots that perform a variety of different tasks. In all cases the robots are attempt to locate radiative sources. The fitness heuristic, number of sources, and boundary types of the world are varied. In all cases the genetic algorithm produced working designs. Designs are significantly specialized for the varied environments.

Keywords

RobotGenetic algorithmVariety (cybernetics)HeuristicComputer scienceBoundary (topology)Artificial intelligenceHuman–computer interactionSimulationMachine learning

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