Metaheuristic Procedures for Training Neutral Networks

• Corporate Author: SpringerLink (Online service)
• Other Authors: Alba, Enrique (Editor), Martí, Rafael (Editor)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2006.
• Series: Operations Research/Computer Science Interfaces Series, 36
• Subjects: Business.; Production management.; Operations research.; Decision making.; Computer mathematics.; Mathematical models.; Mathematical optimization.; Management science.; Business and Management.; Operation Research/Decision Theory.; Optimization.; Mathematical Modeling and Industrial Mathematics.; Operations Research, Management Science.; Operations Management.; Computational Mathematics and Numerical Analysis.

Metaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural network training. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own. Apart from...

Table of Contents:

• Classical Training Methods
• Local Search Based Methods
• Simulated Annealing
• Tabu Search
• Variable Neighbourhood Search
• Population Based Methods
• Estimation of Distribution Algorithms
• Genetic Algorithms
• Scatter Search
• Other Advanced Methods
• Ant Colony Optimization
• Cooperative Coevolutionary Methods
• Greedy Randomized Adaptive Search Procedures
• Memetic Algorithms.