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SIMULATED EVOLUTION AND LEARNING - 10TH INTERNATIONAL CONFERENCE, SEAL 2014, DUNEDIN, NEW ZEALAND, DECEMBER 15-18, PROCEEDINGS

Grant Dick; Will N. Browne; Peter Whigham; Mengjie Zhang; Lam Thu Bui; Hisao Ishibuchi; Yaochu Jin; Xiaodong Li; Yu Shi
Springer International Publishing AG (2014)
Pehmeäkantinen kirja

51,40 €

KNOWLEDGE INCORPORATION IN EVOLUTIONARY COMPUTATION

Yaochu Jin (ed.)
Springer (2004)
Kovakantinen kirja

179,00 €

ADVANCED FUZZY SYSTEMS DESIGN AND APPLICATIONS

Yaochu Jin
Physica (2002)
Kovakantinen kirja

101,40 €

FUZZY SYSTEMS IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY

Yaochu Jin (ed.); Lipo Wang (ed.)
Springer (2009)
Kovakantinen kirja

134,60 €

MULTI-OBJECTIVE MACHINE LEARNING

Yaochu Jin (ed.)
Springer (2006)
Kovakantinen kirja

179,00 €

MULTI-OBJECTIVE MACHINE LEARNING

Yaochu Jin (ed.)
Springer (2010)
Pehmeäkantinen kirja

179,00 €

KNOWLEDGE INCORPORATION IN EVOLUTIONARY COMPUTATION

Yaochu Jin (ed.)
Springer (2010)
Pehmeäkantinen kirja

179,00 €

FUZZY SYSTEMS IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY

Yaochu Jin (ed.); Lipo Wang (ed.)
Springer (2010)
Pehmeäkantinen kirja

134,60 €

ADVANCED FUZZY SYSTEMS DESIGN AND APPLICATIONS

Yaochu Jin
Physica (2011)
Pehmeäkantinen kirja

101,40 €

DATA-DRIVEN EVOLUTIONARY OPTIMIZATION : INTEGRATING EVOLUTIONARY COMPUTATION, MACHINE LEARNING AND DATA SCIENCE

Yaochu Jin; Handing Wang; Chaoli Sun
Springer (2021)
Kovakantinen kirja

143,50 €

DATA-DRIVEN EVOLUTIONARY OPTIMIZATION : INTEGRATING EVOLUTIONARY COMPUTATION, MACHINE LEARNING AND DATA SCIENCE

Yaochu Jin; Handing Wang; Chaoli Sun
Springer (2022)
Pehmeäkantinen kirja

143,50 €

FEDERATED LEARNING : FUNDAMENTALS AND ADVANCES

Yaochu Jin; Hangyu Zhu; Jinjin Xu; Yang Chen
Springer (2022)
Kovakantinen kirja

143,50 €

COMPUTATIONAL EVOLUTION OF NEURAL AND MORPHOLOGICAL DEVELOPMENT : TOWARDS EVOLUTIONARY DEVELOPMENTAL ARTIFICIAL INTELLIGENCE

Yaochu Jin
Springer (2023)
Kovakantinen kirja

152,40 €

FEDERATED LEARNING

Jin Yaochu Jin; Zhu Hangyu Zhu; Xu Jinjin Xu
Springer Nature B.V. (2022)
Pehmeäkantinen kirja

108,00 €

FEDERATED LEARNING : FUNDAMENTALS AND ADVANCES

Yaochu Jin; Hangyu Zhu; Jinjin Xu; Yang Chen
Springer (2023)
Pehmeäkantinen kirja

143,50 €

COMPUTATIONAL EVOLUTION OF NEURAL AND MORPHOLOGICAL DEVELOPMENT : TOWARDS EVOLUTIONARY DEVELOPMENTAL ARTIFICIAL INTELLIGENCE

Yaochu Jin
Springer (2024)
Pehmeäkantinen kirja

152,40 €

EVOLUTIONARY COMPUTATION IN DYNAMIC AND UNCERTAIN ENVIRONMENTS

Shengxiang Yang (ed.); Yew-Soon Ong (ed.); Yaochu Jin (ed.)
Springer (2007)
Kovakantinen kirja

179,00 €

APPLICATIONS OF EVOLUTIONARY COMPUTING - EVOWORKSHOPS 2004: EVOBIO, EVOCOMNET, EVOHOT, EVOIASP, EVOMUSART, AND EVOSTOC, COIMBRA,

Günther R. Raidl; Stefano Cagnoni; Jürgen Branke; David W. Corne; Rolf Drechsler; Yaochu Jin; Colin G. Johnson; Machado
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2004)
Pehmeäkantinen kirja

51,40 €

APPLICATIONS OF EVOLUTIONARY COMPUTING : EVOWORKSHOPS: EVOBIO, EVOCOMNET, EVOHOT, EVOIASP, EVOMUSART, AND EVOSTOC

Franz Rothlauf (ed.); Jürgen Branke (ed.); Stefano Cagnoni (ed.); David W. Corne (ed.); Rolf Drechsler (ed.); Yaochu ( Jin
Springer (2005)
Pehmeäkantinen kirja

101,40 €

FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY : SECOND INTERNATIONAL CONFERENCE, FSKD 2005, CHANGSHA, CHINA, AUGUST 27-29, 2005, PROCEED

Lipo Wang (ed.); Yaochu Jin (ed.)
Springer (2005)
Pehmeäkantinen kirja

116,40 €

Hae lisää...

Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings

Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yu Shi

51,40 €

Springer International Publishing AG
Sivumäärä: 862 sivua
Asu: Pehmeäkantinen kirja
Painos: 2014 ed.
Julkaisuvuosi: 2014, 20.11.2014 (lisätietoa)
Kieli: Englanti
Tuotesarja: Theoretical Computer Science and General Issues

This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in December 2014. The 42 full papers and 29 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on evolutionary optimization; evolutionary multi-objective optimization; evolutionary machine learning; theoretical developments; evolutionary feature reduction; evolutionary scheduling and combinatorial optimization; real world applications and evolutionary image analysis.

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