Simulated Evolution and Learning

Simulated Evolution and Learning PDF Author: Yuhui Shi
Publisher: Springer
ISBN: 331968759X
Category : Computers
Languages : en
Pages : 1048

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Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017. The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.

Recent Advances in Simulated Evolution and Learning

Recent Advances in Simulated Evolution and Learning PDF Author: K. C. Tan
Publisher: World Scientific
ISBN: 9812389520
Category : Computers
Languages : en
Pages : 836

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Book Description
This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems.

Simulated Evolution and Learning

Simulated Evolution and Learning PDF Author: Yuhui Shi
Publisher: Springer
ISBN: 331968759X
Category : Computers
Languages : en
Pages : 1048

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Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017. The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.

Simulated Evolution and Learning

Simulated Evolution and Learning PDF Author: Grant Dick
Publisher: Springer
ISBN: 3319135635
Category : Computers
Languages : en
Pages : 877

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Book 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.

Simulated Evolution and Learning

Simulated Evolution and Learning PDF Author: Lam Thu Bui
Publisher: Springer
ISBN: 3642348599
Category : Computers
Languages : en
Pages : 525

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Book Description
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.

Simulated Evolution and Learning

Simulated Evolution and Learning PDF Author: Bob McKay
Publisher: Springer
ISBN: 3540488731
Category : Computers
Languages : en
Pages : 484

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Book Description
This volume contains selected papers presented at the Second Asia-Paci c C- ference on Simulated Evolution and Learning (SEAL’98), from 24 to 27 Nov- ber 1998, in Canberra, Australia. SEAL’98 received a total of 92 submissions (67 papers for the regular sessions and 25 for the applications sessions). All papers were reviewed by three independent reviewers. After review, 62 papers were - cepted for oral presentation and 13 for poster presentation. Some of the accepted papers were selected for inclusion in this volume. SEAL’98 also featured a fully refereed special session on Evolutionary Computation in Power Engineering - ganised by Professor Kit Po Wong and Dr Loi Lei Lai. Two of the ve accepted papers are included in this volume. The papers included in these proceedings cover a wide range of topics in simulated evolution and learning, from self-adaptation to dynamic modelling, from reinforcement learning to agent systems, from evolutionary games to e- lutionary economics, and from novel theoretical results to successful applications, among others. SEAL’98 attracted 94 participants from 14 di erent countries, namely A- tralia, Belgium, Brazil, Germany, Iceland, India, Japan, South Korea, New Z- land, Portugal, Sweden, Taiwan, UK and the USA. It had three distinguished international scientists as keynote speakers, giving talks on natural computation (Hans-Paul Schwefel), reinforcement learning (Richard Sutton), and novel m- els in evolutionary design (John Gero). More information about SEAL’98 is still available at http://www.cs.adfa.edu.au/conference/seal98/.

Simulated Evolution and Learning

Simulated Evolution and Learning PDF Author: Xiaodong Li
Publisher: Springer
ISBN: 3540896945
Category : Computers
Languages : en
Pages : 672

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Book Description
This LNCS volume contains the papers presented at SEAL 2008, the 7th Int- nationalConference on Simulated Evolutionand Learning,held December 7–10, 2008, in Melbourne, Australia. SEAL is a prestigious international conference series in evolutionary computation and learning. This biennial event was ?rst held in Seoul, Korea, in 1996, and then in Canberra, Australia (1998), Nagoya, Japan (2000), Singapore (2002), Busan, Korea (2004), and Hefei, China (2006). SEAL 2008 received 140 paper submissions from more than 30 countries. After a rigorous peer-review process involving at least 3 reviews for each paper (i.e., over 420 reviews in total), the best 65 papers were selected to be presented at the conference and included in this volume, resulting in an acceptance rate of about 46%. The papers included in this volume cover a wide range of topics in simulated evolution and learning: from evolutionarylearning to evolutionary optimization, from hybrid systems to adaptive systems, from theoretical issues to real-world applications. They represent some of the latest and best research in simulated evolution and learning in the world.

Simulated Evolution and Learning

Simulated Evolution and Learning PDF Author: Kalyanmoy Deb
Publisher: Springer Science & Business Media
ISBN: 3642172970
Category : Computers
Languages : en
Pages : 734

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Book Description
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Simulated Evolution and Learning

Simulated Evolution and Learning PDF Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 252

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Book Description


Artificial Intelligence Through Simulated Evolution

Artificial Intelligence Through Simulated Evolution PDF Author: Lawrence J. Fogel
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 192

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Book Description


Simulating the Evolution of Language

Simulating the Evolution of Language PDF Author: Angelo Cangelosi
Publisher: Springer Science & Business Media
ISBN: 1447106636
Category : Computers
Languages : en
Pages : 350

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Book Description
This book is the first to provide a comprehensive survey of the computational models and methodologies used for studying the evolution and origin of language and communication. Comprising contributions from the most influential figures in the field, it presents and summarises the state-of-the-art in computational approaches to language evolution, and highlights new lines of development. Essential reading for researchers and students in the fields of evolutionary and adaptive systems, language evolution modelling and linguistics, it will also be of interest to researchers working on applications of neural networks to language problems. Furthermore, due to the fact that language evolution models use multi-agent methodologies, it will also be of great interest to computer scientists working on multi-agent systems, robotics and internet agents.