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Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes

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Bibliographic Details
Published inEvolutionary Computation Vol. 25; pp. 555 - 585
Main Authors Daolio, Fabio, Liefooghe, Arnaud, Verel, Sébastien, Aguirre, Hernan, Tanaka, Kiyoshi
Format Journal Article
LanguageJapanese
Published MIT Press 17.03.2017
Subjects
[INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]
[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]
[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]
Algorithms
Benchmarking
black-box 0–1 multi-objective problems
Computer Simulation
empirical performance modeling
Evolutionary multi-objective optimization
feature-based analysis
fitness landscape and problem difficulty
Heuristics
multi-level multi-variate analysis
random-effects mixed models
Online AccessGet full text
ISSN1063-6560
1530-9304
DOI10.1145/3066862.3066868

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ISSN:1063-6560
1530-9304
DOI:10.1145/3066862.3066868
  • ikona citování Cite this
  • ikona bookmark Save to List
  • ikona export Export Record
    • Export to CitacePRO
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
    • Export to RIS
  • ikona email Email this
  • ikona permanent link Permanent link

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