Modern optimization computing methods

Author: Xing Wenxun
Publisher:
Publish Date: 2000-05-01
Features: This book systematically introduces the models and theories, application techniques, and application cases of modern optimization computing methods such as tabu search, simulated annealing, genetic algorithms, artificial neural networks, and Lagrangian relaxation. This book systematically introduces the models and theories, application techniques, and application cases of modern optimization computing methods such as tabu search, simulated annealing, genetic algorithms, artificial neural networks, and Lagrangian relaxation. This book systematically introduces the models and theories, application techniques, and application cases of modern optimization computing methods such as tabu search, simulated annealing, genetic algorithms, artificial neural networks, and Lagrangian relaxation. The book consists of 6 chapters, with the first chapter introducing the basic concepts of algorithm complexity and the evaluation methods of heuristic algorithms, and the following 5 chapters modern optimization computing methods.