Simulated Evolution and Learning [electronic resource] : 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. 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.
Contributor(s): Dick, Grant [editor.] | Browne, Will N [editor.] | Whigham, Peter [editor.] | Zhang, Mengjie [editor.] | Bui, Lam Thu [editor.] | Ishibuchi, Hisao [editor.] | Jin, Yaochu [editor.] | Li, Xiaodong [editor.] | Shi, Yuhui [editor.] | Singh, Pramod [editor.] | Tan, Kay Chen [editor.] | Tang, Ke [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Computer Science: 8886Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XVI, 862 p. 267 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319135632.Subject(s): Computer science | Computers | Computer science -- Mathematics | Data mining | Artificial intelligence | Computer simulation | Computer Science | Computation by Abstract Devices | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Simulation and Modeling | Discrete Mathematics in Computer Science | Information Systems Applications (incl. Internet)Additional physical formats: Printed edition:: No titleDDC classification: 004.0151 Online resources: Click here to access onlineEvolutionary 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.
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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