Case study: constraint handling in evolutionary optimization of catalytic materials
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F11%3A00362974" target="_blank" >RIV/67985807:_____/11:00362974 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2001858.2002015" target="_blank" >http://dx.doi.org/10.1145/2001858.2002015</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2001858.2002015" target="_blank" >10.1145/2001858.2002015</a>
Alternative languages
Result language
angličtina
Original language name
Case study: constraint handling in evolutionary optimization of catalytic materials
Original language description
The paper presents a case study in an industrially important application domain the optimization of catalytic materials. Though evolutionary algorithms are the by far most frequent approach to optimization tasks in that domain, they are challenged by mixing continuous and discrete variables, and especially by a large number of constraints. The paper describes the various kinds of encountered constraints, and explains constraint handling in GENACAT, one of evolutionary optimization systems developed specifically for catalyst optimization. In particular, it is shown that the interplay between cardinality constraints and linear equality and inequality constraints allows GENACAT to efficienlty determine the set of feasible solutions, and to split the original optimization task into a sequence of discrete and continuous optimization. Finally, the genetic operations employed in the discrete optimization are sketched, among which crossover is based on an assumption about the importance of the
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
GECCO '11 Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
ISBN
978-1-4503-0690-4
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
333-339
Publisher name
ACM
Place of publication
New York
Event location
DUBLIN
Event date
Jul 12, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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