Publication detail

Integer simulation based optimization by local search

SKLENÁŘ, J. POPELA, P.

English title

Integer simulation based optimization by local search

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

Original abstract

Simulation-based optimization combines simulation experiments used to evaluate the objective and/or constraint functions with an optimization algorithm. Compared with classical optimization, simulation based optimization brings its specific problems and restrictions. These are discussed in the paper. Evaluation of the objective function is based on time consuming, typically repeated simulation experiments. So we believe that the main objective in selecting the optimization algorithm is minimization of the number of objective function evaluations. In this paper we concentrate on integer optimization that is typical in simulation context. Local search algorithms that try to minimize the number of objective function evaluations are described. Examples with both analytical and simulationbased objective functions are used to demonstrate the performance of the algorithms.

Keywords in English

Integer optimization; Local search; Simulation

Released

2010-05-30

ISSN

1877-0509

Journal

Procedia Computer Science

Volume

1

Number

1

Pages from–to

1341–1348

Pages count

8

BIBTEX


@article{BUT124192,
  author="Jaroslav {Sklenář} and Pavel {Popela}",
  title="Integer simulation based optimization by local search",
  journal="Procedia Computer Science",
  year="2010",
  volume="1",
  number="1",
  pages="1341--1348"
}