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R-HV :
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Deb, KalyanmoyDepartment of Electrical and Computer Engineering, Michigan State University, USA
(author)
R-HV : A Metric for Computing Hyper-volume for Reference Point-based EMOs
- Article/chapterEnglish2015
Publisher, publication year, extent ...
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2015-07-16
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Cham :Springer,2015
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:his-10464
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https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-10464URI
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https://doi.org/10.1007/978-3-319-20294-5_9DOI
Supplementary language notes
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Language:English
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Summary in:English
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Classification
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Subject category:ref swepub-contenttype
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Subject category:kap swepub-publicationtype
Notes
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For evaluating performance of a multi-objective optimizationfor finding the entire efficient front, a number of metrics, such as hypervolume, inverse generational distance, etc. exists. However, for evaluatingan EMO algorithm for finding a subset of the efficient frontier, the existing metrics are inadequate. There does not exist many performancemetrics for evaluating a partial preferred efficient set. In this paper, wesuggest a metric which can be used for such purposes for both attainableand unattainable reference points. Results on a number of two-objectiveproblems reveal its working principle and its importance in assessingdifferent algorithms. The results are promising and encouraging for itsfurther use.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
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Siegmund, Florian,1981-Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningscentrum för Virtuella system,Produktion och automatiseringsteknik, Production and Automation Engineering(Swepub:his)sief
(author)
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Ng, Amos H. C.Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningscentrum för Virtuella system,Produktion och automatiseringsteknik, Production and Automation Engineering(Swepub:his)ngam
(author)
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Department of Electrical and Computer Engineering, Michigan State University, USAInstitutionen för ingenjörsvetenskap
(creator_code:org_t)
Related titles
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In:Swarm, Evolutionary, and Memetic ComputingCham : Springer, s. 98-11097833192029389783319202945
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