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On the design of an artificial life simulator

Research output: Contribution to a Journal (Peer & Non Peer)Conference articlepeer-review

5 Citations (Scopus)

Abstract

This paper describes the design of an artificial life simulator. The simulator uses a genetic algorithm to evolve a population of neural networks to solve a presented set of problems. The simulator has been designed to facilitate experimentation in combining different forms of learning (evolutionary algorithms and neural networks). We present results obtained in simulations examining the effect of individual life-time learning on the population's performance as a whole.

Original languageEnglish
Pages (from-to)549-555
Number of pages7
JournalLecture Notes in Computer Science
Volume2773 PART 1
DOIs
Publication statusPublished - 2003
Event7th International Conference, KES 2003 - Oxford, United Kingdom
Duration: 3 Sep 20035 Sep 2003

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