Yin Shan

Lam Thu Bui

Ang Yang

Evolutionary Computation (EC) includes a number of techniques such as Genetic Algorithms which have been used in a diverse range of highly successful applications. This book brings together some of these EC applications in fields including electronics, telecommunications, health, bioinformatics, supply chain and other engineering domains, to give the audience, including both EC researchers and practitioners, a glimpse of this exciting and rapidly-evolving field.

Success in Evolutionary Computation

Yaochu Jin

Hisao Ishibuchi

Ke Tang

Peter Whigham

Kay Chen Tan

Yuhui Shi

Xiaodong Li

Mengjie Zhang

Will N. Browne

Pramod Singh

Grant Dick

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.

10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings

Simulated Evolution and Learning

Ponnuthurai Nagaratnam Suganthan

Yew Soon Ong

Nguyen Xuan Hoai

This volume constitutes the proceedings of the 9th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Hanoi, Vietnam, in December 2012. The 50 full papers presented were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on evolutionary algorithms, theoretical developments, swarm intelligence, data mining, learning methodologies, and real-world applications.

9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012, Proceedings

Lam Thu Bui

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