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Local Search Efficiency when Optimizing Unimodal Pseudoboolean Functions.

Local search efficiency when optimizing unimodal pseudoboolean functions
Authors: Alexander Antamoshkin; Eugene Antamoshkin; Eugene Semenkin;

Local Search Efficiency when Optimizing Unimodal Pseudoboolean Functions.

Abstract

Summary: This work is a continuation of our previous papers devoted to the exploration of the regular search procedures efficiency in binary search spaces. Here, we formulate the problem in a rather general form as a problem of optimization of a unimodal pseudo-Boolean function given implicitly and obtain analytical estimates of the expected time of a minimum point search for procedures of direct local search. These estimates are polynomial for the case of weakly nonmonotone functions and exponential for the general case of arbitrary unimodal functions. We hope that the proposed result will be useful first of all for practical applications.

Keywords

binary search spaces, Searching and sorting

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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