Modern Optimization Computation Methods - (2nd Edition)

Author: Xing Wenxun, Xie Jinxing (editors)
Publisher:
Publish Date: 2005-09-01
Features: This book systematically introduces the models and theories, application techniques, and application cases of modern optimization computing methods such as Tabu Search Algorithm, Simulated Annealing Algorithm, Genetic Algorithm, Ant Colony Optimization Algorithm, Artificial Neural Network Algorithm, and Lagrangian Relaxation Algorithm. The book consists of 7 chapters, with Chapter 1 serving as the foundation for the subsequent 6 chapters, primarily covering the basic concepts of algorithm complexity and the evaluation methods of heuristic algorithms. The following 6 chapters introduce each modern optimization computing method. This book can be used as a graduate textbook for relevant optimization disciplines in mathematics, management science, computer science, industrial engineering, and other fields, and can also serve as a reference for researchers in related disciplines.