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Advances in Evolutionary Algorithms
Edited by Witold Kosinski, ISBN 978-953-7619-11-4, Hard cover, 284 pages, Publisher: InTech, Published: November 01, 2008 under CC BY-NC-SA 3.0 license, in subject Numerical Analysis and Scientific Computing
With the recent trends towards massive data sets and significant computational power, combined with evolutionary algorithmic advances evolutionary computation is becoming much more relevant to practice. Aim of the book is to present recent improvements, innovative ideas and concepts in a part of a huge EA field.
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Book contents
- Chapter 1Limit Properties of Evolutionary Algorithms
- Chapter 2Evolutionary Systems Identification: New Algorithmic Concepts and Applications
- Chapter 3FPBIL: A Parameter-free Evolutionary Algorithm
- Chapter 4A Memetic Algorithm Assisted by an Adaptive Topology RBF Network and Variable Local Models for Expensive Optimization Problems
- Chapter 5An Adaptive Evolutionary Algorithm Combining Evolution Strategy and Genetic Algorithm (Application of Fuzzy Power System Stabilizer)
- Chapter 6A Simple Hybrid Particle Swarm Optimization
- Chapter 7Recent Advances in Harmony Search
- Chapter 8A Hybrid Evolutionary Algorithm and its Application to Parameter Identification of Rolling Elements Bearings
- Chapter 9Domain Decomposition Evolutionary Algorithm for Multi-Modal Function Optimization
- Chapter 10Evolutionary Algorithms with Dissortative Mating on Static and Dynamic Environments
- Chapter 11Adapting Genetic Algorithms for Combinatorial Optimization Problems in Dynamic Environments
- Chapter 12Agent-Based Co-Evolutionary Techniques for Solving Multi-Objective Optimization Problems
- Chapter 13Evolutionary Multi-Objective Robust Optimization
- Chapter 14Improving Interpretability of Fuzzy Models Using Multi-Objective Neuro-Evolutionary Algorithms
- Chapter 15Multi-objective Uniform-diversity Genetic Algorithm (MUGA)
- Chapter 16EA-based Problem Solving Environment over the GRID
- Chapter 17Evolutionary Methods for Learning Bayesian Network Structures
- Chapter 18Design of Phased Antenna Arrays using Evolutionary Optimization Techniques
- Chapter 19Design of an Efficient Genetic Algorithm to Solve the Industrial Car Sequencing Problem
- Chapter 20Symbiotic Evolution Genetic Algorithms for Reinforcement Fuzzy Systems Design
- Chapter 21Evolutionary Computation Applied to Urban Traffic Optimization
- Chapter 22Evolutionary Algorithms in Decision Tree Induction