Title :
Evolution of ultrasimple virtual robots
Author :
Ashlock, Dan ; Walker, John ; Oliver, James
Author_Institution :
Dept. of Math., Iowa State Univ., Ames, IA, USA
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 :
digital simulation; genetic algorithms; heuristic programming; mobile robots; simulation; fitness heuristic; genetic algorithm; radiative source location; ultrasimple virtual robots; Algorithm design and analysis; Genetic algorithms; Intelligent agent; Manufacturing; Mathematics; Mechanical engineering; Mobile robots; Neural networks; Neurons; Robot sensing systems;
Conference_Titel :
Intelligence and Systems, 1996., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-7728-7
DOI :
10.1109/IJSIS.1996.565066
