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Part of book or chapter of book . 1998 . Peer-reviewed
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The Traveling Salesrep Problem, Edge Assembly Crossover, and 2-opt

Authors: Jean-Paul Watson; Charlie Ross; V. Eisele; Jason Denton; José Bins; C. Guerra; L. Darrell Whitley; +1 Authors

The Traveling Salesrep Problem, Edge Assembly Crossover, and 2-opt

Abstract

Optimal results for the Traveling Salesrep Problem have been reported on problems with up to 3038 cities using a GA with Edge Assembly Crossover (EAX). This paper first attempts to independently replicate these results on Padberg's 532 city problem. We then evaluate the performance contribution of the various algorithm components. The incorporation of 2-opt into the EAX GA is also explored. Finally, comparative results are presented for a population-based form of 2-opt that uses partial restarts.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Average
Top 10%
Average
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