Simulated Evolution and Learning
By: and and and and and and and and
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- Synopsis
- 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 SciencesContents: "Evolutionary Theory: "Using Evolution to Learn User Preferences "(S Ujjin & P J Bentley)"Evolutionary Learning Strategies for Artificial Life Characters "(M L Netto et al. )"The Influence of Stochastic Quality Functions on Evolutionary Search "(B Sendhoff et al. )"A Real-Coded Cellular Genetic Algorithm Inspired by Predator–Prey Interactions "(X Li & S Sutherland)"Automatic Modularization with Speciated Neural Network Ensemble "(V R Khare & X Yao)""Evolutionary Applications: "Image Classification using Particle Swarm Optimization "(M G Omran et al. )"Evolution of Fuzzy Rule Based Controllers for Dynamic Environments "(J Riley & V Ciesielski)"A Genetic Algorithm for Joint Optimization of Spare Capacity and Delay in Self-Healing Network "(S Kwong & H W Chong)"Joint Attention in the Mimetic Context — What is a “Mimetic Same”? "(T Shiose et al. )"Time Series Forecast with Elman Neural Networks and Genetic Algorithms "(L X Xu et al. )"and other articlesReadership: Upper level undergraduates, graduate students, academics, researchers and industrialists in artificial intelligence, evolutionary computation, fuzzy logic and neural networks.
- Copyright:
- 2004
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783319687599
- Publisher:
- Springer International Publishing, Cham
- Date of Addition:
- 10/31/17
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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