9783319135625-3319135627-Simulated Evolution and Learning: 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings (Lecture Notes in Computer Science, 8886)

Simulated Evolution and Learning: 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings (Lecture Notes in Computer Science, 8886)

ISBN-13: 9783319135625
ISBN-10: 3319135627
Edition: 2014
Author: Ke Tang, Pramod Singh, Yaochu Jin, Kay Chen Tan, Mengjie Zhang, Yuhui Shi, Peter Whigham, Will N. Browne, Hisao Ishibuchi, Lam Thu Bui, Xiaodong Li, Grant Dick
Publication date: 2014
Publisher: Springer
Format: Paperback 878 pages
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ISBN-13: 9783319135625
ISBN-10: 3319135627
Edition: 2014
Author: Ke Tang, Pramod Singh, Yaochu Jin, Kay Chen Tan, Mengjie Zhang, Yuhui Shi, Peter Whigham, Will N. Browne, Hisao Ishibuchi, Lam Thu Bui, Xiaodong Li, Grant Dick
Publication date: 2014
Publisher: Springer
Format: Paperback 878 pages

Summary

Simulated Evolution and Learning: 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings (Lecture Notes in Computer Science, 8886) (ISBN-13: 9783319135625 and ISBN-10: 3319135627), written by authors Ke Tang, Pramod Singh, Yaochu Jin, Kay Chen Tan, Mengjie Zhang, Yuhui Shi, Peter Whigham, Will N. Browne, Hisao Ishibuchi, Lam Thu Bui, Xiaodong Li, Grant Dick, was published by Springer in 2014. With an overall rating of 3.7 stars, it's a notable title among other books. You can easily purchase or rent Simulated Evolution and Learning: 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings (Lecture Notes in Computer Science, 8886) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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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