ABSTRACT
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical applications. It is the first book to comprehensively study both approximation algorithms and metaheuristics.
Starting with basic approaches, the handbook presents
TABLE OF CONTENTS
part |2 pages
Part I: Basic Methodologies
part |2 pages
Part II: Local Search, Neural Networks, and Metaheuristics
part |2 pages
Part III: Multiobjective Optimization, Sensitivity Analysis, and Stability
part |2 pages
Part IV: Traditional Applications
part |2 pages
Part V: Computational Geometry and Graph Applications
part |2 pages
Part VI: Large-Scale and Emerging Applications
