On local search based heuristics for optimization problems

Authors

  • David Kaljun Faculty of Mechanical Engineering, University of Ljubljana Aškerčeva 6, Ljubljana, Slovenia
  • Janez Žerovnik Faculty of Mechanical Engineering, University of Ljubljana Aškerčeva 6, Ljubljana, Slovenia

Abstract

When comparing various metaheuristics, even asking a fair and formally consistent question is often difficult. Having this in mind, we provide some further evidence that simple local search heuristics may be at least very competitive choice. On a dataset from an industrial application, i.e. construction of an optical system, we compare local search and genetic algorithms. In our case, the best performance is obtained by a combination of both heuristics.

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Published

2015-01-27

Issue

Section

CRORR Journal Regular Issue