A new metamodel-based method for solving semi-expensive simulation optimization problems. Issue 6 (3rd July 2017)

• Record Type: Journal Article
• Authors: Moghaddam, Samira; Mahlooji, Hashem
• Is Part Of: Communications in statistics. Volume 46:Issue 6(2017)
• Page Start: 4795
• Page End: 4811
• Publication Date: 2017-07-03
• Subjects: Kriging -- Metamodel-based algorithm -- Particle swarm optimization -- Semi-expensive simulation problems -- Simulation optimization; 90c59; Mathematical statistics -- Periodicals; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5
• DOI: 10.1080/03610918.2015.1134567
• Languages: English
• ISSNs: 0361-0918

Abstract

ABSTRACT: In this article, a new algorithm for rather expensive simulation problems is presented, which consists of two phases. In the first phase, as a model-based algorithm, the simulation output is used directly in the optimization stage. In the second phase, the simulation model is replaced by a valid metamodel. In addition, a new optimization algorithm is presented. To evaluate the performance of the proposed algorithm, it is applied to the ( s, S ) inventory problem as well as to five test functions. Numerical results show that the proposed algorithm leads to better solutions with less computational time than the corresponding metamodel-based algorithm.