Output details
12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering
Cranfield University
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Article title
Objective reduction in many-objective optimization: Linear and nonlinear algorithms
Type
D - Journal article
Title of journal
Ieee Transactions on Evolutionary Computation
Article number
-
Volume number
17
Issue number
1
First page of article
77
ISSN of journal
1089-778X
Year of publication
2013
URL
-
Number of additional authors
5
Additional information
This paper presents for the first time algorithms for reducing the complexity of optimisation problems with four or more conflicting objectives (funded via a Hewlett Packard Research Grant, contact Prof Keshav Dahal, k.p.dahal@bradford.ac.uk). The research reported in this paper has been highlighted by the NAFEMS (International Association of the Engineering Modelling, Analysis and Simulation Community) Optimisation Working Group as one of the key enablers for solving engineering design optimisation problems in aerospace, automotive and power sectors (Dr Gan Xiao-Peng, xiao-peng.gan@power.alstom.com).
Interdisciplinary
-
Cross-referral requested
-
Research group
D - Manufacturing & Materials
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
