Inproceedings,

Evolving Simple Software Agents: Comparing Genetic Algorithm and Genetic Programming Performance

, and .
Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, GALESIA, University of Strathclyde, Glasgow, UK, IEE, (1997)

Abstract

This paper investigates the relative efficiency of genetic algorithms and genetic programming in evolving simple software agents. The problem domain consists of an autonomous food-gathering agent placed on a square grid of hundred cells with food units spread evenly over the grid. Initial results show that evolving the agent using GP requires less effort than with GA. Nevertheless, further investigation revealed some interesting aspects.

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