Advances in Evolutionary Algorithms | Date: 04 May 2011, 08:54
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Advances in Evolutionary Algorithms
ISBN 978-953-7619-11-4
Hard cover, 284 pages
Edited by: Witold Kosinski
Publisher: IN-TECH
Publication date: November 2008
About the Book
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.
Table of Content
01 Limit Properties of Evolutionary Algorithms
Witold Kosinski, and Stefan Kotowski
02 Evolutionary Systems Identification: New Algorithmic Concepts and Applications
Michael Affenzeller, Stephan Winkler and Stefan Wagner
03 FPBIL: A Parameter-free Evolutionary Algorithm
Gustavo Caldas and Roberto Schirru
04 A Memetic Algorithm Assisted by an Adaptive Topology RBF Network and Variable Local Models for Expensive Optimization Problems
Yoel Tenne and S.W. Armfield
05 An Adaptive Evolutionary Algorithm Combining Evolution Strategy and Genetic Algorithm (Application of Fuzzy Power System Stabilizer)
Gi-Hyun Hwang, and and Won-Tae Jang
06 A Simple Hybrid Particle Swarm Optimization
Wei-Chang Yeh
07 Recent Advances in Harmony Search
Zong Woo Geem, M. Fesanghary, Jeong-Yoon Choi, M. P. Saka, Justin C. Williams, M. Tamer Ayvaz, Liang Li, Sam Ryu and A. Vasebi
08 A Hybrid Evolutionary Algorithm and its Application to Parameter Identification of Rolling Elements Bearings
Eric Yonghan Kim, Bo-Suk Yang and Andy Chit Chow Tan
09 Domain Decomposition Evolutionary Algorithm for Multi-Modal Function Optimization
Guangming Lin, Lishan Kang, Yongsheng Liang and Yuping Chen
10 Evolutionary Algorithms with Dissortative Mating on Static and Dynamic Environments
Carlos M. Fernandes and Agostinho C. Rosa
11 Adapting Genetic Algorithms for Combinatorial Optimization Problems in Dynamic Environments
Abdunnaser Younes, Shawki Areibi, Paul Calamai and Otman Basir
12 Agent-Based Co-Evolutionary Techniques for Solving Multi-Objective Optimization Problems
Rafal Drezewski and Leszek Siwik
13 Evolutionary Multi-Objective Robust Optimization
J. Ferreira, C. M. Fonseca, J. A. Covas and A. Gaspar-Cunha
14 Improving Interpretability of Fuzzy Models Using Multi-Objective Neuro-Evolutionary Algorithms
Gracia Sanchez Carpena, Jose Francisco Sanchez Ruiz, Jose Manuel Alcaraz Munoz and Fernando Jimenez
15 Multi-objective Uniform-diversity Genetic Algorithm (MUGA)
Ali Jamali, Nader Nariman-zadeh and Kazem Atashkari
16 EA-based Problem Solving Environment over the GRID
Mohamed Wahib, Asim Munawar, Masaharu Munetomo and Kiyoshi Akama
17 Evolutionary Methods for Learning Bayesian Network Structures
Thierry Brouard, Alain Delaplace and Hubert Cardot
18 Design of Phased Antenna Arrays using Evolutionary Optimization Techniques
Marco A. Panduro, David H. Covarrubias and Aldo L. Mendez
19 Design of an Efficient Genetic Algorithm to Solve the Industrial Car Sequencing Problem
A. Zinflou, C. Gagne and M. Gravel
20 Symbiotic Evolution Genetic Algorithms for Reinforcement Fuzzy Systems Design
Chia-Feng Juang and I-Fang Chung
21 Evolutionary Computation Applied to Urban Traffic Optimization
Javier J. Sanchez Medina, Manuel J. Galan Moreno and Enrique Rubio Royo
22 Evolutionary Algorithms in Decision Tree Induction
Francesco Mola, Raffaele Miele and Claudio Conversano
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