A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem
Lately, the field of Artificial Immune Systems (AIS) has attracted wide attention among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS is rather slow as compared to other Evolutionary Algorithms. Alternatively, Partic...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2011
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/3933/1/springer.pdf http://eprints.utem.edu.my/id/eprint/3933/ http://www.springerlink.com/content/0269-2821/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utem.eprints.3933 |
---|---|
record_format |
eprints |
spelling |
my.utem.eprints.39332021-12-21T16:14:06Z http://eprints.utem.edu.my/id/eprint/3933/ A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem Yap, David F. W. Koh, S. P. Tiong, S. K. Prajindra, S. K. TA Engineering (General). Civil engineering (General) Lately, the field of Artificial Immune Systems (AIS) has attracted wide attention among researchers as the algorithm is able to improve local searching ability and efficiency. However, the rate of convergence for AIS is rather slow as compared to other Evolutionary Algorithms. Alternatively, Particle Swarm Optimization (PSO) has been used effectively in solving complicated optimization problems with simple coding and lesser parameters, but it tends to converge prematurely. Thus, the good features of AIS and PSO are combined in order to reduce their shortcomings.By comparing the optimization results of themathematical functions and the engineering problem using hybrid AIS (HAIS) and AIS, it is observed that HAIS has better performances in terms of accuracy, convergence rate and stability. Springer 2011-05-30 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/3933/1/springer.pdf Yap, David F. W. and Koh, S. P. and Tiong, S. K. and Prajindra, S. K. (2011) A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem. Artif. Intell. Rev., Online (Online). ISSN 0269-2821 http://www.springerlink.com/content/0269-2821/ DOI 10.1007/s10462-011-9252-8 |
institution |
Universiti Teknikal Malaysia Melaka |
building |
UTEM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknikal Malaysia Melaka |
content_source |
UTEM Institutional Repository |
url_provider |
http://eprints.utem.edu.my/ |
language |
English |
topic |
TA Engineering (General). Civil engineering (General) |
spellingShingle |
TA Engineering (General). Civil engineering (General) Yap, David F. W. Koh, S. P. Tiong, S. K. Prajindra, S. K. A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem |
description |
Lately, the field of Artificial Immune Systems (AIS) has attracted wide attention among researchers as the algorithm is able to improve local searching ability and efficiency.
However, the rate of convergence for AIS is rather slow as compared to other Evolutionary Algorithms. Alternatively, Particle Swarm Optimization (PSO) has been used effectively in solving complicated optimization problems with simple coding and lesser parameters, but it tends to converge prematurely. Thus, the good features of AIS and PSO are combined in order to reduce their shortcomings.By comparing the optimization results of themathematical functions and the engineering problem using hybrid AIS (HAIS) and AIS, it is observed that HAIS has better performances in terms of accuracy, convergence rate and stability. |
format |
Article |
author |
Yap, David F. W. Koh, S. P. Tiong, S. K. Prajindra, S. K. |
author_facet |
Yap, David F. W. Koh, S. P. Tiong, S. K. Prajindra, S. K. |
author_sort |
Yap, David F. W. |
title |
A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem |
title_short |
A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem |
title_full |
A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem |
title_fullStr |
A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem |
title_full_unstemmed |
A hybrid artificial immune systems for multimodal function optimization and its application in engineering problem |
title_sort |
hybrid artificial immune systems for multimodal function optimization and its application in engineering problem |
publisher |
Springer |
publishDate |
2011 |
url |
http://eprints.utem.edu.my/id/eprint/3933/1/springer.pdf http://eprints.utem.edu.my/id/eprint/3933/ http://www.springerlink.com/content/0269-2821/ |
_version_ |
1720440242684559360 |
score |
13.19449 |