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Abstract: In this paper we present two sets of empirical data evaluating the performance of a new Cleanup operator for evolutionary approaches to the travelling salesman problem (TSP). For raw data we have used standard road mileage charts of the USA, Great Britain and Ireland, which enable us to generate a reference table with appropriate city to city distances. A wide variety of standard genetic parameters (population size, epochs, mutation rate and selection type) is explored, and results allow the... (Update)
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BibTeX entry: (Update)
@inproceedings{ mitchell00new,
author = "George G. Mitchell and Diarmuid O'Donoghue and Adrian Trenaman",
title = "A New Operator for Efficient Evolutionary Solutions to the Travelling Salesman Problem",
booktitle = "Proc. Applied Informatics",
address = "Innsbruck, Austria",
pages = "771--774",
year = "2000"
url = "citeseer.ist.psu.edu/mitchell00new.html",
url = "http://www.eeng.dcu.ie/~alife/gmit/TSP_AI_2000.pdf" }
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6 Empirical Estimation of the Computation Required to Discover.. (context) - Fogel - 1993
2 An Evolutionary Approach to the Travelling Salesman Problems (context) - Fogel - 1988
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1 Artificial Neural Networks (context) - Paterson - 1996
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