Genetic Programming Bibliography entries for Nils Svangard
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Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
GP coauthors/coeditors:
Stefan Lloyd,
Peter Nordin,
Clas Wihlborg,
Genetic Programming conference papers by Nils Svangard
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Nils Svangard and Peter Nordin.
Automated Aesthetic Selection of Evolutionary Art by Distance Based Classification of Genomes and Phenomes using the Universal Similarity Metric. In
Guenther R. Raidl and Stefano Cagnoni and Jurgen Branke and David W. Corne and Rolf Drechsler and Yaochu Jin and Colin R. Johnson and Penousal Machado and Elena Marchiori and Franz Rothlauf and George D. Smith and Giovanni Squillero editors,
Applications of Evolutionary Computing, EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3005, pages 447-456, Coimbra, Portugal, 2004. Springer Verlag.
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Nils Svangard and Peter Nordin and Stefan Lloyd.
Using genetic programming with negative parsimony pressure on exons for portfolio optimization. In
Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors,
Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 1014-1017, Canberra, 2003. IEEE Press.
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Nils Svangard and Peter Nordin.
Generating Investment Policies for Nonlinear Portfolio Optimization with Genetic Programming. In
Proceedings of the Sixth International Conference on Computational Intelligence and Natural Computing, pages CIEF3-64, Embassy Suites Hotel and Conference Center, Cary, North Carolina USA, 2003.
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Nils Svangard and Stefan Lloyd and Peter Nordin and Clas Wihlborg.
Evolving Short-Term Trading Strategies Using Genetic Programming. In
David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors,
Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 2006-2010, 2002. IEEE Press.
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Nils Svangard and Peter Nordin and Stefan Lloyd.
Parallell Evolution of Trading Strategies Based on Binary Classification Using Sub-Machine-Code Genetic Programming. In
Lipo Wang and Kay Chen Tan and Takeshi Furuhashi and Jong-Hwan Kim and Xin Yao editors,
Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL'02), Orchid Country Club, Singapore, 2002.
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