Foundations of Computational Intelligence Volume 3 : Global Optimization
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.
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Details
- ISBN-13: 9783642010842
- ISBN-10: 3642010849
- Publisher: Springer
- Publish Date: April 2009
- Dimensions: 9.21 x 6.14 x 1.19 inches
- Shipping Weight: 2.04 pounds
- Page Count: 528
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