Modern Optimization Computational Methods, Second 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 algorithms, simulated annealing algorithms, genetic algorithms, ant colony optimization algorithms, artificial neural network algorithms, and Lagrangian relaxation algorithms. 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. This book can be used as a graduate textbook for related optimization disciplines in mathematics, management science, computer science, industrial engineering, and other fields, and can also serve as a reference for researchers in.