A population based incremental learning vector algorithm for multiobjective optimal designs

Siu Lau Ho; Shiyou Yang

doi:10.1109/CEFC.2010.5481850

A population based incremental learning vector algorithm for multiobjective optimal designs

Siu Lau Ho, Shiyou Yang

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

A vector optimizer, based on population based incremental learning (PBIL) method, is proposed and used to study a hard engineering inverse problem with good results.

Original language	English
Title of host publication	Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010
DOIs	https://doi.org/10.1109/CEFC.2010.5481850
Publication status	Published - 26 Jul 2010
Event	14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010 - Chicago, IL, United States Duration: 9 May 2010 → 12 May 2010

Conference

Conference	14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010
Country/Territory	United States
City	Chicago, IL
Period	9/05/10 → 12/05/10

ASJC Scopus subject areas

Computational Theory and Mathematics
Electrical and Electronic Engineering

More information

10.1109/CEFC.2010.5481850

Cite this

@inproceedings{ba60599f36e6455e9d31faee5e030de5,

title = "A population based incremental learning vector algorithm for multiobjective optimal designs",

abstract = "A vector optimizer, based on population based incremental learning (PBIL) method, is proposed and used to study a hard engineering inverse problem with good results.",

author = "Ho, {Siu Lau} and Shiyou Yang",

year = "2010",

month = jul,

day = "26",

doi = "10.1109/CEFC.2010.5481850",

language = "English",

isbn = "9781424470594",

booktitle = "Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010",

note = "14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010 ; Conference date: 09-05-2010 Through 12-05-2010",

}

Ho, SL & Yang, S 2010, A population based incremental learning vector algorithm for multiobjective optimal designs. in Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010., 5481850, 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010, Chicago, IL, United States, 9/05/10. https://doi.org/10.1109/CEFC.2010.5481850

A population based incremental learning vector algorithm for multiobjective optimal designs. / Ho, Siu Lau; Yang, Shiyou.
Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010. 2010. 5481850.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - A population based incremental learning vector algorithm for multiobjective optimal designs

AU - Ho, Siu Lau

AU - Yang, Shiyou

PY - 2010/7/26

Y1 - 2010/7/26

N2 - A vector optimizer, based on population based incremental learning (PBIL) method, is proposed and used to study a hard engineering inverse problem with good results.

AB - A vector optimizer, based on population based incremental learning (PBIL) method, is proposed and used to study a hard engineering inverse problem with good results.

UR - http://www.scopus.com/inward/record.url?scp=77954794268&partnerID=8YFLogxK

U2 - 10.1109/CEFC.2010.5481850

DO - 10.1109/CEFC.2010.5481850

M3 - Conference article published in proceeding or book

SN - 9781424470594

BT - Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010

T2 - 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC2010

Y2 - 9 May 2010 through 12 May 2010

ER -

A population based incremental learning vector algorithm for multiobjective optimal designs

Abstract

Conference

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this