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Output details

11 - Computer Science and Informatics

University of Essex

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Output 22 of 135 in the submission

Article title

Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm

Type

D - Journal article

DOI

10.1109/TEVC.2009.2021467

Title of journal

IEEE Transactions on Evolutionary Computation

Article number

Volume number

Issue number

First page of article

1167

ISSN of journal

1089-778X

Year of publication

2009

URL

Number of additional authors

Additional information

<22> The work presented in this paper bridges machine learning and multiobjective evolutionary algorithms. It has opened a research direction for exploring the regularity property of multiobjective optimization problems in evolutionary algorithms. Its long term consequence is to provide systematic and theoretical sound approach for designing multiobjective optimization.

Interdisciplinary

Cross-referral requested

Research group

A - Artificial Intelligence

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract