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Solving maximum cut problems by simulated annealing

Tor G.J. Myklebust(tmyklebu***at***gmail.com)

Abstract: This paper gives a straightforward implementation of simulated annealing for solving maximum cut problems and compares its performance to that of some existing heuristic solvers. The formulation used is classical, dating to a 1989 paper of Johnson, Aragon, McGeoch, and Schevon. This implementation uses no structure peculiar to the maximum cut problem, but its low per-iteration cost allows it to find better solutions than were previously known for 40 of the 89 standard maximum cut instances tested within a few minutes of computation.

Keywords: maximum cut, simulated annealing

Category 1: Combinatorial Optimization (Meta Heuristics )

Citation: arXiv:1505.03068

Download: [Postscript][PDF]

Entry Submitted: 05/19/2015
Entry Accepted: 05/20/2015
Entry Last Modified: 05/19/2015

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