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Simulated Evolution and Learning : 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings / edited by Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 8886
- Theoretical Computer Science and General Issues, 2512-2029 ; 8886
- Language:
- English
- Subjects (All):
- Computer science.
- Artificial intelligence.
- Data mining.
- Computer simulation.
- Computer science-Mathematics.
- Discrete mathematics.
- Application software.
- Theory of Computation.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Computer Modelling.
- Discrete Mathematics in Computer Science.
- Computer and Information Systems Applications.
- Local Subjects:
- Theory of Computation.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Computer Modelling.
- Discrete Mathematics in Computer Science.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (XVI, 862 pages) : 267 illustrations
- Edition:
- 1st ed. 2014.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2014.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-13563-2
- 9783319135632
- Access Restriction:
- Restricted for use by site license.
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