GECCO-99
Author: Wolfgang Banzhaf
Publisher:
Published: 1999
Total Pages: 968
ISBN-13:
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GECCO-99
Author:
Publisher: Morgan Kaufmann
Published: 1999
Total Pages: 948
ISBN-13:
DOWNLOAD EBOOKThese proceedings contain the papers presented at the GECCO conference, held in Orlando, Florida, July 13-17, 1999. The 1999 Genetic and Evolutionary Computational Conference (GECCO-99) combined the longest running conferences in evolutionary computation (ICGA) and the world's two largest EC conferences (GP and ICGA) to create a unique opportunity to collect the best in research in this growing field of computer science and engineering.
GECCO-2001
Author: Lee Spector
Publisher: Morgan Kaufmann
Published: 2001
Total Pages: 1492
ISBN-13:
DOWNLOAD EBOOKGenetic Programming
Author: Riccardo Poli
Publisher: Springer
Published: 2004-05-24
Total Pages: 371
ISBN-13: 3540462392
DOWNLOAD EBOOKThis volume contains the proceedings of EuroGP 2000, the European Conf- ence on Genetic Programming, held in Edinburgh on the 15th and 16th April 2000. This event was the third in a series which started with the two European workshops: EuroGP’98, held in Paris in April 1998, and EuroGP’99, held in Gothenburg in May 1999. EuroGP 2000 was held in conjunction with EvoWo- shops 2000 (17th April) and ICES 2000 (17th-19th April). Genetic Programming (GP) is a growing branch of Evolutionary Compu- tion in which the structures in the population being evolved are computer p- grams. GP has been applied successfully to a large number of di?cult problems like automatic design, pattern recognition, robotic control, synthesis of neural networks, symbolic regression, music and picture generation, biomedical app- cations, etc. In recent years,even human-competitive results have been achieved by a number of groups. EuroGP 2000, the ?rst evolutionary computation conference of the new m- lennium, was the biggest event devoted to genetic programming to be held in Europe in 2000. It was a high quality conference where state-of-the-art work on the theory of GP and applications of GP to real world problems was presented.
Handbook of Research on Nature-Inspired Computing for Economics and Management
Author: Rennard, Jean-Philippe
Publisher: IGI Global
Published: 2006-09-30
Total Pages: 1066
ISBN-13: 1591409853
DOWNLOAD EBOOK"This book provides applications of nature inspired computing for economic theory and practice, finance and stock-market, manufacturing systems, marketing, e-commerce, e-auctions, multi-agent systems and bottom-up simulations for social sciences and operations management"--Provided by publisher.
Recent Advances in Simulated Evolution and Learning
Author: K. C. Tan
Publisher: World Scientific
Published: 2004
Total Pages: 836
ISBN-13: 9812389520
DOWNLOAD EBOOKThis 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.
Data Complexity in Pattern Recognition
Author: Mitra Basu
Publisher: Springer Science & Business Media
Published: 2006-12-22
Total Pages: 309
ISBN-13: 1846281725
DOWNLOAD EBOOKAutomatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.
Computational Science - ICCS 2003. Part 4.
Author: Peter Sloot
Publisher: Springer Science & Business Media
Published: 2003-05-22
Total Pages: 1188
ISBN-13: 3540401970
DOWNLOAD EBOOKThe four-volume set LNCS 2657, LNCS 2658, LNCS 2659, and LNCS 2660 constitutes the refereed proceedings of the Third International Conference on Computational Science, ICCS 2003, held concurrently in Melbourne, Australia and in St. Petersburg, Russia in June 2003. The four volumes present more than 460 reviewed contributed and invited papers and span the whole range of computational science, from foundational issues in computer science and algorithmic mathematics to advanced applications in virtually all application fields making use of computational techniques. These proceedings give a unique account of recent results in the field.
Learning Classifier Systems
Author: Pier L. Lanzi
Publisher: Springer
Published: 2003-06-26
Total Pages: 344
ISBN-13: 3540450270
DOWNLOAD EBOOKLearning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book provides a unique survey of the current state of the art of LCS and highlights some of the most promising research directions. The first part presents various views of leading people on what learning classifier systems are. The second part is devoted to advanced topics of current interest, including alternative representations, methods for evaluating rule utility, and extensions to existing classifier system models. The final part is dedicated to promising applications in areas like data mining, medical data analysis, economic trading agents, aircraft maneuvering, and autonomous robotics. An appendix comprising 467 entries provides a comprehensive LCS bibliography.
Spatially Structured Evolutionary Algorithms
Author: Marco Tomassini
Publisher: Springer Science & Business Media
Published: 2005-12-19
Total Pages: 200
ISBN-13: 3540299386
DOWNLOAD EBOOKEvolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and their empirical behavior are presented in detail. Moreover, there is new material on non-standard networked population structures such as small-world networks. The book should be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization. It should also be useful to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role.
