OTHER
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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