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The univariate marginal distribution algorithm copes well with deception and epistasis

Subjects: FOS: Computer and information sciences; epistasis; Mathematical optimization

  • Source: GECCO CompanionEvolutionary ComputationEvolutionary Computation, Massachusetts Institute of Technology Press (MIT Press), In press, ⟨10.1162/evco_a_00293⟩Evolutionary Computation

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A Feature-based Survey of Model View Approaches

Subjects: Computer science; Complex system; [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]

  • Source: MoDELSSoftware and Systems ModelingSoftware and Systems Modeling, 2019, 18 (3), pp.1931-1952. ⟨10.1007/s10270-017-0622-9⟩Proceedings of the 21th

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Proof checking and logic programming

Subjects: Theoretical computer science; Computer science; focused proof

  • Source: PPDPFormal Aspects of ComputingFormal Aspects of Computing, Springer Verlag, 2017, 29 (3), pp.383-399 ⟨10.1007/s00165-016-0393-z⟩Formal Aspects of Computing, 2017, 29 (3),

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Separating regular languages with first-order logic

Subjects: FOS: Computer and information sciences; Computer Science - Logic in Computer Science; [INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]

  • Source: CSL-LICSLogical Methods in Computer ScienceLogical Methods in Computer Science, Logical Methods in Computer Science Association, 2016, 12 (1), ⟨10.2168/LMCS-12(1:5)2016⟩CSL-LICS

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Transporting functions across ornaments

Subjects: FOS: Computer and information sciences; Theoretical computer science; Computer science

  • Source: ICFPJournal of Functional ProgrammingJournal of Functional Programming, Cambridge University Press (CUP), 2014, 24 (2-3), pp.67. ⟨10.1017/S0956796814000069⟩Journal of Functional

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