Multiobjective optimum design of rotor-bearing systems with dynamic constraints using immune-genetic algorithm

Authors
Citation
Bk. Choi et Bs. Yang, Multiobjective optimum design of rotor-bearing systems with dynamic constraints using immune-genetic algorithm, J ENG GAS T, 123(1), 2001, pp. 78-81
Citations number
9
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Mechanical Engineering
Journal title
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME
ISSN journal
0742-4795 → ACNP
Volume
123
Issue
1
Year of publication
2001
Pages
78 - 81
Database
ISI
SICI code
0742-4795(200101)123:1<78:MODORS>2.0.ZU;2-5
Abstract
In this paper, the combined optimization algorithm (immune-genetic algorith m) is proposed for multioptimization problems by introducing the capability of the immune system to the genetic algorithm. The optimizing ability of t he proposed combined algorithm is identified by comparing the result of opt imization with sharing genetic algorithm for the two-dimensional multipeak function. Also the combined algorithm is applied to minimize the total weig ht of the shaft and the transmitted forces at the bearings. The results sho w that the combined algorithm can reduce both the weights of the shaft and the transmitted forces at the bearing with dynamic constraints.