EMPIRICAL STUDY OF LOCAL OPTIMIZATION METHODS
Journal Title: ALTA. Pažangios mokymosi technologijos ir aplikacijos - Year 2017, Vol 8, Issue 1
Abstract
Local optimization (local search) methods are quite popular by solving combinatorial optimization problems. In this short study, we discuss different variants of the local search algorithms. We have investigated these modifications on the grey pattern problem, which is used as a representative example of combinatorial optimization problems. Some of the results obtained during the experimentation demonstrate the promising efficiency of the particular algorithm enhancements.
Authors and Affiliations
Evelina Staneviciene, Alfonsas Misevicius
Keywords
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