An archive-based multi-objective evolutionary algorithm with adaptive search space partitioning to deal with expensive optimization problems: Application to process eco-design-Reference-Cited by-同舟云学术

An archive-based multi-objective evolutionary algorithm with adaptive search space partitioning to deal with expensive optimization problems: Application to process eco-design

Published:2016-04 Issue: Volume:87 Page:95-110
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Ahmadi Aras,Tiruta-Barna Ligia,Capitanescu Florin,Benetto Enrico,Marvuglia Antonino

Funder

Luxembourg National Research Fund

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference39 articles.

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3. A comparative study of variation operators used for evolutionary multi-objective optimization;Alberto;Inf Sci,2014

4. MOEA/D with Tabu search for multiobjective permutation flow shop scheduling problems;Alhindi,2014

5. Some efficient approaches for multi-objective constrained optimization of computationally expensive black-box model problems;Capitanescu;Comput Chem Eng,2015

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