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Paper detail

Steepest ascent can be exponential in bounded treewidth problems

We investigate the complexity of local search based on steepest ascent. We show that even when all variables have domains of size two and the underlying constraint graph of variable interactions has bounded treewidth (in our construction, treewidth 7), there are fitness landscapes for which an exponential number of steps may be required to reach a local optimum. This is an improvement on prior recursive constructions of long steepest ascents, which we prove to need constraint graphs of unbounded treewidth.

preprint2019arXivOpen access
David A. CohenMartin C. CooperArtem KaznatcheevMark Wallace
Neural and Evolutionary ComputingData Structures and AlgorithmsDiscrete MathematicsPopulations and Evolution
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David A. CohenMartin C. CooperArtem KaznatcheevMark Wallace

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