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2004 | OriginalPaper | Buchkapitel

Evolving TSP Heuristics Using Multi Expression Programming

verfasst von : Mihai Oltean, D. Dumitrescu

Erschienen in: Computational Science - ICCS 2004

Verlag: Springer Berlin Heidelberg

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Multi Expression Programming (MEP) is used for evolving a Traveling Salesman Problem (TSP) heuristic for graphs satisfying triangle inequality. Evolved MEP heuristic is compared with Nearest Neighbor Heuristic (NN) and Minimum Spanning Tree Heuristic (MST) on some difficult problems in TSPLIB. The results emphasizes that evolved MEP heuristic is better than the compared algorithm for the considered test problems.

Metadaten
Titel
Evolving TSP Heuristics Using Multi Expression Programming
verfasst von
Mihai Oltean
D. Dumitrescu
Copyright-Jahr
2004
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-540-24687-9_99

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