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Hybrid evolutionary algorithms for the TSP

Minetti, Gabriela F. et al · SEDICI UNLP · 2001

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Even if simply stated the travelling salesman problem (TSP) is one of the most studied NP-hard problems. Many algorithms have been proposed to solve TSP. Dynamic programming and branch and bound techniques provided the global optimum solution for the largest nontrivial instance of TSP with 7397 cities. However, 4 years of CPU time was required on a network of computers. Eje: Inteligencia Computacional - Metaheurísticas Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Minetti, G. F. E. A. (2001). Hybrid evolutionary algorithms for the TSP. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21662

MLA

Minetti, Gabriela F. et al. Hybrid evolutionary algorithms for the TSP. SEDICI UNLP, 2001. http://sedici.unlp.edu.ar/handle/10915/21662.

Chicago

Minetti, Gabriela F. et al. 2001. Hybrid evolutionary algorithms for the TSP. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21662.

Harvard

Minetti, G. F. E. A. 2001, Hybrid evolutionary algorithms for the TSP, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/21662 [Accessed 6 Aug. 2026].

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Title
Hybrid evolutionary algorithms for the TSP
Author / contributors
Minetti, Gabriela F. et al
Publisher
SEDICI UNLP
Publication year
2001
Language
Spanish

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