Basic Principles -- Schema Theory -- No Free Lunch for GAs -- GAs as Markov Processes -- The Dynamical Systems Model -- Statistical Mechanics Approximations -- Predicting GA Performance -- Landscapes -- Summary.

A Stochastic Program for Interdicting Smuggled Nuclear Material -- Enumerating Near-Min S-T Cuts -- A Decomposition-Based Pseudoapproximation Algorithm for Network Flow Inhibition -- Interdicting Stochastic Networks with Binary Interdiction Effort -- Stochastic Batch-Sizing Problems: Models and...

Plenary Article -- Improving Hurricane Prediction Through Innovative Global Modeling -- Networks and Graphs -- A Branch-And-Price Approach for Graph Multi-Coloring -- A Genetic Algorithm for Solving the Euclidean Non-Uniform Steiner Tree Problem -- Optimization -- Cardinality and the Simplex...

This book provides successful implementations of metaheuristic methods for neural network training. It is the first book to achieve this objective. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own....