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Success in Evolutionary Computation : Studies in Computational Intelligence - Ang Yang

Success in Evolutionary Computation

Studies in Computational Intelligence

By: Ang Yang (Editor), Yin Shan (Editor), Lam Thu Bui (Editor)

Hardcover

Published: 29th February 2008
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Evolutionary Computation (EC) includes a number of techniques such as Genetic Algorithms which have been used in a diverse range of highly successful applications. This book brings together some of these EC applications in fields including electronics, telecommunications, health, bioinformatics, supply chain and other engineering domains, to give the audience, including both EC researchers and practitioners, a glimpse of this exciting and rapidly-evolving field.

Theory
Adaptation of a Success Story in GAs: Estimation-of-Distribution Algorithms for Tree-based Optimization Problemsp. 3
The Automated Design of Artificial Neural Networks Using Evolutionary Computationp. 19
A Versatile Surrogate-Assisted Memetic Algorithm for Optimization of Computationally Expensive Functions and its Engineering Applicationsp. 43
Data Mining and Intelligent Multi-Agent Technologies in Medical Informaticsp. 73
Applications
Evolving Trading Rulesp. 95
A Hybrid Genetic Algorithm for the Protein Folding Problem Using the 2D-HP Lattice Modelp. 121
Optimal Management of Agricultural Systemsp. 141
Evolutionary Electronics: Automatic Synthesis of Analog Circuits by GAsp. 165
Intuitive Visualization and Interactive Analysis of Pareto Sets Applied on Production Engineering Systemsp. 189
Privacy Protection with Genetic Algorithmsp. 215
A Revision of Evolutionary Computation Techniques in Telecommunications and An Application for The Network Global Planning Problemp. 239
Survivable Network Design with an Evolution Strategyp. 263
Evolutionary Computations for Design Optimization and Test Automation in VLSI Circuitsp. 285
Evolving Cooperative Agents in Economy Market Using Genetic Algorithmsp. 313
Optimizing Multiplicative General Parameter Finite Impulse Response Filters Using Evolutionary Computationp. 327
Applying Genetic Algorithms to Optimize the Cost of Multiple Sourcing Supply Chain Systems - An Industry Case Studyp. 355
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9783540762850
ISBN-10: 354076285X
Series: Studies in Computational Intelligence
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 372
Published: 29th February 2008
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5  x 2.67
Weight (kg): 1.57