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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical programming 51 (1991), S. 141-202 
    ISSN: 1436-4646
    Keywords: 05C04 ; 05C45 ; 90C10 ; Travelling salesman problem ; cutting plane algorithms ; polyhedral combinatorics
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract In this paper we report on a cutting plane procedure with which we solved symmetric travelling salesman problems of up to 1000 cities to optimality. Our implementation is based on a fast LP-solver (IBM's MPSX) and makes effective use of polyhedral results on the symmetric travelling salesman polytope. We describe the important ingredients of our code and give an extensive documentation of its computational performance.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Computing 39 (1987), S. 327-344 
    ISSN: 1436-5057
    Keywords: 05-04 ; 05C45 ; 90C10 ; Matching ; cutting plane algorithm ; polyhedral combinatorics
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Description / Table of Contents: Zusammenfassung Wir beschreiben die Implementierung eines Schnittebenenverfahrens zur Bestimmung minimaler gewichteter perfekter 2-Matchings. Der Algorithmus baut auf der vollständigen Beschreibung des perfekten 2-Matching-Polytops, die Edmonds angegeben hat, auf und verwendet die Simplexmethode zur Lösung der im Verfahren auftretenden LP-Relaxierungen. Schnittebenen werden entweder mit schnellen Heuristiken bestimmt, oder, falls diese nicht erfolgreich sind, mit einer effizienten und auf 2-matching-Ungleichungen abgestimmten Implementierung des Padberg-Rao-Verfahrens. Mit diesem Algorithmus konnten 2-Matching-Probleme in vollständigen Graphen mit bis zu 1000 Knoten, d. h. mit bis zu 499.500 Variablen, in weniger als einer Stunde CPU-Zeit auf einem Rechner mittlerer Leistung gelöst werden.
    Notes: Abstract We describe an implementation of a cutting plane algorithm for the minimum weight perfect 2-matching problem. This algorithm is based on Edmonds' complete description of the perfect 2-matching polytope and uses the simplex algorithm for solving the LP-relaxations coming up. Cutting planes are determined by fast heuristics, or, if these fail, by an efficient implementation of the Padberg-Rao procedure, specialized for 2-matching constraints. With this algorithm 2-matching problems on complete graphs with up to 1000 nodes (i.e., 499,500 variables) have been solved in less than 1 hour CPU time on a medium speed computer.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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