Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/61848
Title: Application of evolutionary computation for machine design optimization
Authors: Srinivasan, D. 
Liew, A.C. 
Lim, K.L.
Issue Date: Sep-1999
Source: Srinivasan, D.,Liew, A.C.,Lim, K.L. (1999-09). Application of evolutionary computation for machine design optimization. International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications 7 (3) : 127-130. ScholarBank@NUS Repository.
Abstract: Machine optimizations are characterized by many non-commensurable and often competing objectives to be optimized. This paper presents an evolutionary algorithm (EA) based software environment for multi-objective optimal design of electromagnetic devices. The main consideration is to produce a strong, inexpensive and lightweight structure that is capable of giving the required performance. The software environment allows the users to choose from a variety of EA parameters. The paper presents the results obtained from variation of several combinations of these parameters tested on a salient machine design problem.
Source Title: International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/61848
ISSN: 09691170
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

41
checked on Dec 7, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.