Output details
15 - General Engineering
University of Sheffield
Article title
Preference-Inspired Coevolutionary Algorithms for Many-Objective Optimization
Type
D - Journal article
Title of journal
IEEE Transactions on Evolutionary Computation
Article number
-
Volume number
17
Issue number
4
First page of article
474
ISSN of journal
19410026
Year of publication
2013
URL
-
Number of additional authors
2
Additional information
This innovative framework, which addresses the critical challenges of many-objective optimization, is currently being considered by Ford Motor Company for integration as a core component within the ‘Liger’ software – an integrated optimization environment. Liger is an open-source environment, developed at Sheffield, in collaboration with Ford Motor Company, for the Technology Strategy Board-led Ultra Low Carbon Vehicle capability Integrated Delivery Programme, CREO, that aims to elevate this technology from initial concept through to fleet level demonstration (Contact: Robert Lygoe, Ford Motor Company, blygoe@ford.com).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
