Enhancement of multiobjective search : A jumping-genes approach

J. J. YIN; S. H. YEUNG; Wallace K. S. TANG; K. F. MAN; S. KWONG

doi:10.1109/ISIE.2007.4374889

Enhancement of multiobjective search : A jumping-genes approach

J. J. YIN, S. H. YEUNG, Wallace K. S. TANG, K. F. MAN, S. KWONG

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

2 Citations (Scopus)

Abstract

Inspired by the gene transposition in biological genome, recently, a new evolutionary computing algorithm has been developed for optimization. It consists of two newly designed operations: copy-and-paste and cut-and-paste, which have been proven mathematically on the basis of Schema theory. In this paper, their uniqueness for balancing the exploration and exploitation searching effect is explained. In the meantime, the enhancement of searching efficiency for the multiobjective problems is demonstrated. Its ability is further reinforced by a real world application for a microstrip patch antennae design. The obtained results indicated that this new algorithm is indeed beneficial for gaining a much improved non-dominated solutions front as compared with those derived from the conventional method. ©2007 IEEE.

Original language	English
Title of host publication	IEEE International Symposium on Industrial Electronics
Pages	1855-1858
DOIs	https://doi.org/10.1109/ISIE.2007.4374889
Publication status	Published - 2007
Externally published	Yes

Access to Document

10.1109/ISIE.2007.4374889

Cite this

@inproceedings{a908becd0e114675917a46437e9e7f1a,

title = "Enhancement of multiobjective search : A jumping-genes approach",

abstract = "Inspired by the gene transposition in biological genome, recently, a new evolutionary computing algorithm has been developed for optimization. It consists of two newly designed operations: copy-and-paste and cut-and-paste, which have been proven mathematically on the basis of Schema theory. In this paper, their uniqueness for balancing the exploration and exploitation searching effect is explained. In the meantime, the enhancement of searching efficiency for the multiobjective problems is demonstrated. Its ability is further reinforced by a real world application for a microstrip patch antennae design. The obtained results indicated that this new algorithm is indeed beneficial for gaining a much improved non-dominated solutions front as compared with those derived from the conventional method. {\textcopyright}2007 IEEE.",

author = "YIN, {J. J.} and YEUNG, {S. H.} and TANG, {Wallace K. S.} and MAN, {K. F.} and S. KWONG",

year = "2007",

doi = "10.1109/ISIE.2007.4374889",

language = "English",

pages = "1855--1858",

booktitle = "IEEE International Symposium on Industrial Electronics",

}

TY - GEN

T1 - Enhancement of multiobjective search : A jumping-genes approach

AU - YIN, J. J.

AU - YEUNG, S. H.

AU - TANG, Wallace K. S.

AU - MAN, K. F.

AU - KWONG, S.

PY - 2007

Y1 - 2007

N2 - Inspired by the gene transposition in biological genome, recently, a new evolutionary computing algorithm has been developed for optimization. It consists of two newly designed operations: copy-and-paste and cut-and-paste, which have been proven mathematically on the basis of Schema theory. In this paper, their uniqueness for balancing the exploration and exploitation searching effect is explained. In the meantime, the enhancement of searching efficiency for the multiobjective problems is demonstrated. Its ability is further reinforced by a real world application for a microstrip patch antennae design. The obtained results indicated that this new algorithm is indeed beneficial for gaining a much improved non-dominated solutions front as compared with those derived from the conventional method. ©2007 IEEE.

AB - Inspired by the gene transposition in biological genome, recently, a new evolutionary computing algorithm has been developed for optimization. It consists of two newly designed operations: copy-and-paste and cut-and-paste, which have been proven mathematically on the basis of Schema theory. In this paper, their uniqueness for balancing the exploration and exploitation searching effect is explained. In the meantime, the enhancement of searching efficiency for the multiobjective problems is demonstrated. Its ability is further reinforced by a real world application for a microstrip patch antennae design. The obtained results indicated that this new algorithm is indeed beneficial for gaining a much improved non-dominated solutions front as compared with those derived from the conventional method. ©2007 IEEE.

UR - http://www.scopus.com/inward/record.url?scp=50049102980&partnerID=8YFLogxK

U2 - 10.1109/ISIE.2007.4374889

DO - 10.1109/ISIE.2007.4374889

M3 - Conference paper (refereed)

SP - 1855

EP - 1858

BT - IEEE International Symposium on Industrial Electronics

ER -

Enhancement of multiobjective search : A jumping-genes approach

Abstract

Access to Document

Other files and links

Fingerprint

Cite this