Year: 2006
Type: article
Abstract: A new optimization method which can search for the global optimum solution and decrease the number of iterations is described. The feature of the new method include creating orthogonal arrays and changing the level value of design factors for every search step. The performance of the method involved observing the optimization problem of single- and multi-peaked functions for which the global solution was known in advance. The newly developed method is found to be very effective for establishing a global optimum solution to these problems.
Authors: Hiroyuki KAWAGISHI, Kazuhiko KUDO
Institution: Toshiba (Japan)
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W2317791464
