Foundations of Computational Intelligence Volume 3: Global Optimization

By Aboul-Ella Hassanien and Patrick Siarry

Book Overview

Global Optimization Algorithms: Theoretical Foundations and Perspectives.- Genetic Algorithms for the Use in Combinatorial Problems.- Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications.- Global Optimization Using Harmony Search: Theoretical Foundations and Applications.- Hybrid GRASP Heuristics.- Particle Swarm Optimization: Performance Tuning and Empirical Analysis.- Tabu Search to Solve Real-Life Combinatorial Optimization Problems: A Case of Study.- Reformulations in Mathematical Programming: A Computational Approach.- Graph-Based Local Elimination Algorithms in Discrete Optimization.- Evolutionary Approach to Solving Non-stationary Dynamic Multi-Objective Problems.- Turbulent Particle Swarm Optimization Using Fuzzy Parameter Tuning.- Global Optimization Algorithms: Applications.- An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy.- Evolutionary Computing in Statistical Data Analysis.- Meta-heuristics for System Design Engineering.- Transgenetic Algorithm: A New Endosymbiotic Approach for Evolutionary Algorithms.- Multi-objective Team Forming Optimization for Integrated Product Development Projects.- Genetic Algorithms for Task Scheduling Problem.- PSO_Bounds: A New Hybridization Technique of PSO and EDAs.

• Format: Hardcover
• Language: English
• ISBN: 3642010849
• ISBN13: 9783642010842
• Release Date: April 2009
• Publisher: Springer
• Length: 528 Pages
• Weight: 2.04 lbs.
• Dimensions: 1.2" x 6.1" x 9.2"