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

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

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.

Original language	English
Pages	188-191
Number of pages	4
State	Published - 2006
Externally published	Yes
Event	AISB'06: Adaptation in Artificial and Biological Systems - Bristol, United Kingdom Duration: 3 Apr 2006 → 6 Apr 2006

Conference

Conference	AISB'06: Adaptation in Artificial and Biological Systems
Country/Territory	United Kingdom
City	Bristol
Period	3/04/06 → 6/04/06

Cite this

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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",

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AU - Zhang, Qingfu

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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

Abstract

Conference

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