Evolutionary Algorithms (The IMA Volumes in Mathematics and its Applications)

eBook Information

Evolutionary Algorithms (The IMA Volumes in Mathematics and its Applications) ISBN  0387988262 Release Date  04 June 1999 Category  Algorithms Tags  evolutionary,   algorithm,   mathematics,   algorithms,   math,   "evolutionary algorithms",   mathematic,   evolution,   evolutionary computation,   genetic algorithm,   0387988262,   genetic algorithms,   advances in fuzzy clustering and its applications,   discrete mathematics and its applications,   "algorithms",   This book @Amazon  View Tools Google Search Web flazx.com

Description The IMA Workshop on Evolutionary Algorithms brought together many of the top researchers in the area of Evolutionary Computation for a week of intensive interaction. The field of Evolutionary Computation has developed significantly over the past 30 years and today consists of a variety of subfields such as genetic algorithms, evolution strategies, evolutionary programming, and genetic programming, each with its own algorithmic perspectives and goals. The workshop did a great deal to clarify the current state of the theory of Evolutionary Algorithms. The existing theory might be characterized as deriving from two principal approaches. There is a high level macro-theory that looks at the processing of "building blocks" and "schemata" that are shared by many good solutions when searching a problem space. There is also a low level micro-theory that builds exact Markov models of the search process. It is sometimes hard for researchers working at such different levels of abstraction to interact. The IMA workshop allowed researchers working at these different levels to present their points of view and to move toward common ground. There was real progress in communication between theorists and practitioners in the evolutionary computation field. Speakers presented applications across a wide range of problem areas. In some of those cases, theoretically motivated methods work quite well. In other cases, practitioners used domain-based methods to obtain better performance than could be achieved by using a "pure" evolutionary algorithm. Individuals on both sides went away with a better appreciation of the successes and failures of current theory. Other books on Algorithms Network Models and Optimization: Multiobjective Genetic Algorithm Approach (Decision Engineering) Encyclopedia of Algorithms How to Think About Algorithms Algorithms for Fuzzy Clustering: Methods in c-Means Clustering with Applications (Studies in Fuzziness and Soft Computing) Parallel Iterative Algorithms: From Sequential to Grid Computing (Chapman & Hall/Crc Numerical Analy & Scient Comp. Series) Genome Sequencing Technology and Algorithms Fun with Algorithms: 4th International Conference, FUN 2007, Castiglioncello, Italy, June 3-5, 2007, Proceedings (Lecture Notes in Computer Science) Visibility Algorithms in the Plane Algorithms on Strings Scheduling Algorithms Practical Optimization: Algorithms and Engineering Applications Quantum Monte Carlo: Origins, Development, Applications Design and Analysis of Distributed Algorithms (Wiley Series on Parallel and Distributed Computing) A Programmer's Companion to Algorithm Analysis The Design and Analysis of Algorithms (Monographs in Computer Science)