Evolving simple software agents: comparing genetic algorithm and genetic programming performance

Mark Sinclair; Sajjad Shami

doi:10.1049/cp:19971217

Evolving simple software agents: comparing genetic algorithm and genetic programming performance

Mark Sinclair, Sajjad Shami

Computer and Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Second International Conference On Genetic Algorithms In Engineering Systems: Innovations And Applications
DOIs	https://doi.org/10.1049/cp:19971217
Publication status	Published - Sept 1997

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10.1049/cp:19971217

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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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Evolving simple software agents: comparing genetic algorithm and genetic programming performance

Abstract

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