Lam Thu Bui | Akateeminen Kirjakauppa

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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

49,60 €

SIMULATED EVOLUTION AND LEARNING - 9TH INTERNATIONAL CONFERENCE, SEAL 2012, HANOI, VIETNAM, DECEMBER 16-19, 2012, PROCEEDINGS

Lam Thu Bui; Yew Soon Ong; Nguyen Xuan Hoai; Hisao Ishibuchi; Ponnuthurai Nagaratnam Suganthan
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012)
Pehmeäkantinen kirja

49,60 €

MULTI-OBJECTIVE OPTIMIZATION IN COMPUTATIONAL INTELLIGENCE - THEORY AND PRACTICE

Lam Thu Bui; Sameer Alam
IGI Global (2008)
Kovakantinen kirja

204,50 €

SUCCESS IN EVOLUTIONARY COMPUTATION

Ang Yang; Yin Shan; Lam Thu Bui
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2008)
Kovakantinen kirja

172,80 €

SUCCESS IN EVOLUTIONARY COMPUTATION

Ang Yang (ed.); Yin Shan (ed.); Lam Thu Bui (ed.)
Springer (2010)
Pehmeäkantinen kirja

172,80 €

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

49,60 €

Springer International Publishing AG
Sivumäärä: 862 sivua
Asu: Pehmeäkantinen kirja
Painos: 2014
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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