This book constitutes the refereed proceedings of the 6th International Conference on Simulated Evolution and Learning, SEAL 2006, held in Hefei, China in October 2006. The 117 revised full papers presented were carefully reviewed and selected from 420 submissions.
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.
This book constitutes the thoroughly refereed post-conference documentation of the First Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'96, held in Taejon, Korea, in November 1996.
The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems. This book has been selected for coverage in: .
Simulated Evolution and Learning II
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...
A unique, one-stop reference to the history, technology, and application of evolutionary programming Evolutionary programming has come a long way since Lawrence Fogel first proposed in 1961 that...
This LNCS volume contains the papers presented at the 8th Simulated Evolution and Learning (SEAL 2010) Conference held during December 1–4, 2010 at the Indian Institute of Technology Kanpur in India. SEAL is a prestigious international ...
C. R. Stephens and H. Waelbroeck, Evolutionary Computation, 7, 109 (1999). A. H. Wright, Technical report ... H. Furutani, Proceedings of the Simulated Evolution and Learning Conference, SEAL'00, 2696 (2000). H. Furutani, Proceedings of ...
Artificial Intelligence Through Simulated Evolution
In ISVLSI '06: Proceedings of the IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures, page 237, Washington, DC, USA, 2006. ... Automatic Quantum Computer Programming: A Genetic Programming Approach.