Multiobjective Optimum Design of Rotor-Bearing Systems With Dynamic Constraints Using Immune-Genetic Algorithm-Reference-Cited by-同舟云学术

Multiobjective Optimum Design of Rotor-Bearing Systems With Dynamic Constraints Using Immune-Genetic Algorithm

Published:1999-09-28 Issue:1 Volume:123 Page:78-81
ISSN:0742-4795
Container-title:Journal of Engineering for Gas Turbines and Power
language:en
Short-container-title:

Author:

Choi B.-K.¹,Yang B.-S.²

Affiliation:

1. Department of Mechanical and Aerospace Engineering, Arizona State University, Tempe, AZ 85287-6106

2. School of Mechanical Engineering, Pukyong National University, San 100, Yongdang-dong, Nam-Ku, Pusan 608-739, South Korea

Abstract

In this paper, the combined optimization algorithm (immune-genetic algorithm) is proposed for multioptimization problems by introducing the capability of the immune system to the genetic algorithm. The optimizing ability of the proposed combined algorithm is identified by comparing the result of optimization with sharing genetic algorithm for the two-dimensional multipeak function. Also the combined algorithm is applied to minimize the total weight of the shaft and the transmitted forces at the bearings. The results show that the combined algorithm can reduce both the weights of the shaft and the transmitted forces at the bearing with dynamic constraints.

Publisher

ASME International

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Fuel Technology,Nuclear Energy and Engineering

Link

http://asmedigitalcollection.asme.org/gasturbinespower/article-pdf/123/1/78/5747094/78_1.pdf

Reference9 articles.

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