Technical Note—Data-Dependent Bounds for Heuristics to Find a Minimum Weight Hamiltonian Circuit
Roy Jonker, 
Rob Kaas and 
Ton Volgenant
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Roy Jonker: Universiteit van Amsterdam, The Netherlands
Rob Kaas: Universiteit van Amsterdam, The Netherlands
Ton Volgenant: Universiteit van Amsterdam, The Netherlands
Operations Research, 1980, vol. 28, issue 5, 1219-1222
Abstract:
We consider the problem of finding a minimum weight Hamiltonian circuit in a weighted undirected graph. If the edge weights are non-negative and satisfy the triangle inequality, there are heuristics for this problem known to have data-independent bounds on their performance. We derive data-dependent bounds for these heuristics for arbitrary edge weight problems. Our approach leads to sharper bounds than the data-independent ones when the data is non-negative and satisfies the triangle inequality.
Date: 1980
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:28:y:1980:i:5:p:1219-1222
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