Springer, 2000. — 308 p.This book covers four optimisation techniques loosely classified as "intelligent": genetic algorithms, tabu search, simulated annealing and neural networks.
Genetic algorithms (GAs) locate optima using processes similar to those natural selection and genetics.
Tabu search is a heuristic procedure that employs dynamically generated constraints or tabus to guide the search for optimum solutions.
Simulated annealing finds optima in a way analogous to the reaching minimum energy configurations in metal annealing.
Neural networks are computational models of the brain. Certain types neural networks can be used for optimisation by exploiting their inherent ability to evolve in the direction of the negative gradient of an energy function and to reach a stable minimum of that function.
Aimed at engineers, the book gives a concise introduction to the four techniques and presents a range of applications drawn from electrical, electronic, manufacturing, mechanical and systems engineering. The book contains listings C programs implementing the main techniques described to assist readers wishing to experiment with them. The book does not assume a previous background in intelligent optimisation techniques.Introduction
Genetic Algorithms
Tabu Search
Simulated Annealing
Neural Networks
Appendices
Classical Optimisation
Fuzzy Logic Control
Genetic Algorithm Program
Tabu Search Program
Simulated Annealing Program
Neural Network Programs
