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Volumn 2, Issue , 2005, Pages 1493-1500

Constructive hyper-heuristics in class timetabling

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY ALGORITHMS; PARAMETER ESTIMATION; PROBLEM SOLVING; RANDOM PROCESSES; SEARCH ENGINES; SENSITIVITY ANALYSIS;

EID: 27144554137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (12)
  • 1
    • 0003584577 scopus 로고    scopus 로고
    • chapter 4: Informed Search and Exploration. Prentice Hall, Upper Saddle River, N.J., 2nd international edition edition
    • Stuart J. Russell and Peter Norvig. Artificial Intelligence: a modern approach, chapter 4: Informed Search and Exploration, pages 116-120. Prentice Hall, Upper Saddle River, N.J., 2nd international edition edition, 2003.
    • (2003) Artificial Intelligence: A Modern Approach , pp. 116-120
    • Russell, S.J.1    Norvig, P.2
  • 2
    • 1442325240 scopus 로고    scopus 로고
    • Hyper-heuristics: Learning to combine simple heuristics in bin packing problems
    • New York, NY, 2002. Winner of the Best Paper Award in the Learning Classifier Systems Category of GECCO
    • Peter Ross, Sonia Schulenburg, Javier G. Marín-Blázquez, and Emma Hart. Hyper-heuristics: learning to combine simple heuristics in bin packing problems. In Genetic and Evolutionary Computation Conference, New York, NY, 2002. Winner of the Best Paper Award in the Learning Classifier Systems Category of GECCO 2002.
    • (2002) Genetic and Evolutionary Computation Conference
    • Ross, P.1    Schulenburg, S.2    Marín-Blázquez, J.G.3    Hart, E.4
  • 3
    • 4344575422 scopus 로고    scopus 로고
    • A hyper-heuristic approach to single and multiple step environments in bin-packing problems
    • Lecture Notes in Artificial Intelligence. Springer-Verlag, Berlin. In press
    • Sonia Schulenburg, Peter Ross, Javier G. Marín-Blázquez, and Emma Hart. A Hyper-Heuristic Approach to Single and Multiple Step Environments in Bin-Packing Problems. In Learning Classifier Systems: From Foundations to Applications, Lecture Notes in Artificial Intelligence. Springer-Verlag, Berlin, 2003. In press.
    • (2003) Learning Classifier Systems: From Foundations to Applications
    • Schulenburg, S.1    Ross, P.2    Marín-Blázquez, J.G.3    Hart, E.4
  • 4
    • 35248823635 scopus 로고    scopus 로고
    • Learning a procedure that can solve hard bin-packing problems: A new ga-based approach to hyper-heuristics
    • E. Cantú-Paz et al, editor, Genetic and Evolutionary Computation - GECCO 2003, Springer
    • Peter Ross, Javier Marín-Blázquez, Sonia Schulenburg, and Emma Hart. Learning a procedure that can solve hard bin-packing problems: A new ga-based approach to hyper-heuristics. In E. Cantú-Paz et al, editor, Genetic and Evolutionary Computation - GECCO 2003, volume 2 of LNCS, pages 1295-1306. Springer, 2003.
    • (2003) LNCS , vol.2 , pp. 1295-1306
    • Ross, P.1    Marín-Blázquez, J.2    Schulenburg, S.3    Hart, E.4
  • 5
    • 4344673374 scopus 로고    scopus 로고
    • Hyper-heuristics applied to class and exam timetabling problems
    • Portland, Oregon, 20-23 June. IEEE Press
    • Peter Ross, Javier G. Marín-Blázquez, and Emma Hart. Hyper-heuristics applied to class and exam timetabling problems. In CEC 2004, pages 1691-1698, Portland, Oregon, 20-23 June 2004. IEEE Press.
    • (2004) CEC 2004 , pp. 1691-1698
    • Ross, P.1    Marín-Blázquez, J.G.2    Hart, E.3
  • 7
    • 0018456690 scopus 로고
    • New methods to color the vertices of a graph
    • D. Brelaz. New methods to color the vertices of a graph. Communications of the ACM, 22:251-256, 1979.
    • (1979) Communications of the ACM , vol.22 , pp. 251-256
    • Brelaz, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.