| Recent Advances in Simulated Evolution and Learning Contributor(s): Tan, Kay Chen (Editor), Lim, Meng Hiot (Editor), Yao, Xin (Editor) |
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ISBN: 9812389520 ISBN-13: 9789812389527 Publisher: World Scientific Publishing Company OUR PRICE: $285.00 Product Type: Hardcover Published: August 2004 Annotation: - Helps readers to appreciate the simplicity and elegance of the simulated evolution and learning techniques - Provides a good avenue for practitioners to deploy evolutionary computation techniques through various examples - Enables a quick start in the area of evolutionary computation - Presents topics or issues of current research interest - Contains 43 chapters, with more than 30 different applications |
| Additional Information |
| BISAC Categories: - Computers | Computer Science - Computers | Intelligence (ai) & Semantics - Computers | Neural Networks |
| Dewey: 003.3 |
| Series: Advances in Natural Computation |
| Physical Information: 1.87" H x 6.14" W x 9.18" (2.86 lbs) 832 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. 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.This book has been selected for coverage in: - Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)- CC Proceedings -- Engineering & Physical Sciences |