Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles

Jin Y, Sendhoff B (2004)
In: Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I. Deb K (Ed); Lecture Notes in Computer Science, 3102. Berlin, Heidelberg: Springer: 688-699.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Jin, YaochuUniBi ; Sendhoff, Bernhard
Herausgeber*in
Deb, Kalyanmoy
Erscheinungsjahr
2004
Titel des Konferenzbandes
Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I
Serien- oder Zeitschriftentitel
Lecture Notes in Computer Science
Band
3102
Seite(n)
688-699
Konferenz
Genetic and Evolutionary Computation Conference (GECCO 2004)
Konferenzort
Seattle, WA, USA
Konferenzdatum
2004-06-26 – 2004-06-30
ISBN
978-3-540-22344-3
eISBN
978-3-540-24854-5
Page URI
https://pub.uni-bielefeld.de/record/2978656

Zitieren

Jin Y, Sendhoff B. Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. In: Deb K, ed. Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I. Lecture Notes in Computer Science. Vol 3102. Berlin, Heidelberg: Springer; 2004: 688-699.
Jin, Y., & Sendhoff, B. (2004). Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. In K. Deb (Ed.), Lecture Notes in Computer Science: Vol. 3102. Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I (pp. 688-699). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-540-24854-5_71
Jin, Yaochu, and Sendhoff, Bernhard. 2004. “Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles”. In Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I, ed. Kalyanmoy Deb, 3102:688-699. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer.
Jin, Y., and Sendhoff, B. (2004). “Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles” in Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I, Deb, K. ed. Lecture Notes in Computer Science, vol. 3102, (Berlin, Heidelberg: Springer), 688-699.
Jin, Y., & Sendhoff, B., 2004. Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. In K. Deb, ed. Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I. Lecture Notes in Computer Science. no.3102 Berlin, Heidelberg: Springer, pp. 688-699.
Y. Jin and B. Sendhoff, “Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles”, Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I, K. Deb, ed., Lecture Notes in Computer Science, vol. 3102, Berlin, Heidelberg: Springer, 2004, pp.688-699.
Jin, Y., Sendhoff, B.: Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. In: Deb, K. (ed.) Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I. Lecture Notes in Computer Science. 3102, p. 688-699. Springer, Berlin, Heidelberg (2004).
Jin, Yaochu, and Sendhoff, Bernhard. “Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles”. Genetic and Evolutionary Computation – GECCO 2004. Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part I. Ed. Kalyanmoy Deb. Berlin, Heidelberg: Springer, 2004.Vol. 3102. Lecture Notes in Computer Science. 688-699.
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