A Decomposition-based evolutionary strategy for Bi-objective LOTZ problem

Hui Li; Qingfu Zhang

A Decomposition-based evolutionary strategy for Bi-objective LOTZ problem

Hui Li
, Qingfu Zhang

University of Essex

科研成果: 会议稿件 › 论文 › 同行评审

1 引用（Scopus）

摘要

In this paper, we present a decomposition-based evolutionary strategy to solve bi-objective leading ones and trailing zeros problem (mLOTZ). The proposed algorithm decomposes a MOP into a number of scalar optimization subproblems based on Tchebycheff scalarizing approach. The result shows that our algorithm is very promising.

源语言	英语
页	188-191
页数	4
出版状态	已出版 - 2006
已对外发布	是
活动	AISB'06: Adaptation in Artificial and Biological Systems - Bristol, 英国期限: 3 4月 2006 → 6 4月 2006

会议

会议	AISB'06: Adaptation in Artificial and Biological Systems
国家/地区	英国
市	Bristol
时期	3/04/06 → 6/04/06

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链接到 Scopus 的出版物

引用此

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title = "A Decomposition-based evolutionary strategy for Bi-objective LOTZ problem",

abstract = "In this paper, we present a decomposition-based evolutionary strategy to solve bi-objective leading ones and trailing zeros problem (mLOTZ). The proposed algorithm decomposes a MOP into a number of scalar optimization subproblems based on Tchebycheff scalarizing approach. The result shows that our algorithm is very promising.",

author = "Hui Li and Qingfu Zhang",

year = "2006",

language = "英语",

pages = "188--191",

note = "AISB'06: Adaptation in Artificial and Biological Systems ; Conference date: 03-04-2006 Through 06-04-2006",

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TY - CONF

T1 - A Decomposition-based evolutionary strategy for Bi-objective LOTZ problem

AU - Li, Hui

AU - Zhang, Qingfu

PY - 2006

Y1 - 2006

N2 - In this paper, we present a decomposition-based evolutionary strategy to solve bi-objective leading ones and trailing zeros problem (mLOTZ). The proposed algorithm decomposes a MOP into a number of scalar optimization subproblems based on Tchebycheff scalarizing approach. The result shows that our algorithm is very promising.

AB - In this paper, we present a decomposition-based evolutionary strategy to solve bi-objective leading ones and trailing zeros problem (mLOTZ). The proposed algorithm decomposes a MOP into a number of scalar optimization subproblems based on Tchebycheff scalarizing approach. The result shows that our algorithm is very promising.

UR - https://www.scopus.com/pages/publications/84863354568

M3 - 论文

AN - SCOPUS:84863354568

SP - 188

EP - 191

T2 - AISB'06: Adaptation in Artificial and Biological Systems

Y2 - 3 April 2006 through 6 April 2006

ER -

A Decomposition-based evolutionary strategy for Bi-objective LOTZ problem

摘要

会议

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