Success in evolutionary computation
β Cipriano Galindo, Juan-Antonio FernΓ‘ndez-Madrigal, Javier Gonzalez
π Library
π Springer
π English
β¦ LIBER β¦
π
Success in Evolutionary Computation
β Scribed by Peter A. N. Bosman, Edwin D. de Jong (auth.), Ang Yang, Yin Shan, Lam Thu Bui (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2008
- Tongue
- English
- Leaves
- 369
- Series
- Studies in Computational Intelligence 92
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large number of domains. EC includes a number of techniques, such as Genetic Algorithms, Genetic Programming, Evolution Strategy and Evolutionary Programming, 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 rapidly evolving field.
β¦ Table of Contents
Front Matter....Pages I-VIII
Adaptation of a Success Story in GAs: Estimation-of-Distribution Algorithms for Tree-based Optimization Problems....Pages 3-18
The Automated Design of Artificial Neural Networks Using Evolutionary Computation....Pages 19-41
A Versatile Surrogate-Assisted Memetic Algorithm for Optimization of Computationally Expensive Functions and its Engineering Applications....Pages 43-72
Data Mining and Intelligent Multi-Agent Technologies in Medical Informatics....Pages 73-92
Evolving Trading Rules....Pages 95-119
A Hybrid Genetic Algorithm for the Protein Folding Problem Using the 2D-HP Lattice Model....Pages 121-140
Optimal Management of Agricultural Systems....Pages 141-163
Evolutionary Electronics: Automatic Synthesis of Analog Circuits by GAs....Pages 165-187
Intuitive Visualization and Interactive Analysis of Pareto Sets Applied on Production Engineering System....Pages 189-214
Privacy Protection with Genetic Algorithms....Pages 215-237
A Revision of Evolutionary Computation Techniques in Telecommunications and An Application for The Network Global Planning Problem....Pages 239-262
Survivable Network Design with an Evolution Strategy....Pages 263-283
Evolutionary Computations for Design Optimization and Test Automation in VLSI Circuits....Pages 285-311
Evolving Cooperative Agents in Economy Market Using Genetic Algorithms....Pages 313-326
Optimizing Multiplicative General Parameter Finite Impulse Response Filters Using Evolutionary Computation....Pages 327-354
Applying Genetic Algorithms to Optimize the Cost of Multiple Sourcing Supply Chain Systems β An Industry Case Study....Pages 355-372
β¦ Subjects
Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)
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