2026-04-17T06:28:52Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/10202025-07-17T06:14:56Zcom_2072_1033col_2072_452950
RECERCAT
author
Färber, Gerrit Hartmut
author
Coves Moreno, Anna Maria
2006-06
The viability of many heuristic procedures strongly depends on the adequate adjustment of parameters. This work presents an adjustment procedure which was applied to a Genetic Algorithm. First, a preliminary analysis is performed, intended to obtain a better understanding of the behavior of the parameters, as for example to estimate how likely it is for the preceding adjustment of the parameters to remain in local minima. Special attention is paid on the variability of the solutions with respect to their repeatability. The four phases of the adjustment procedure are Rough-Adjustment, Repeatability, Clustering and Fine Adjustment.
http://creativecommons.org/licenses/by-nc-nd/2.5/es/ Open Access Attribution-NonCommercial-NoDerivs 2.5 Spain
Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorismes i teoria de la complexitat
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d’operacions::Anàlisi de processos de negoci i de fabricació
Genetic algorithms
Assembly-line methods
Parameter adjustment
Non-permutation flowshop
Assembly line
Linees d'acoblament
Lineas de ensamblaje
Algorismes genètics
Algoritmos genéticos
Algorismes genètics -- Congressos
Analysis and adjustment of a genetic algorithm for non-permutation flowshops
Conference report