|
Network models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing.
Network Models and Optimization: Multiobjective Genetic Algorithm Approach extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, travelling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems.
Network Models and Optimization: Multiobjective Genetic Algorithm Approach can be used both as a student textbook and as a professional reference for practitioners in many disciplines who use network optimization methods to model and solve problems.
Robust Control for Unstructured Perturbations - An Introduction (Lecture Notes in Control and Information Sciences) Автор: Peter Dorato, Luigi Fortuna, G. Muscato Год: 1992 |
Preventing Suicide: The Solution Focused Approach Автор: John Henden Год: 2008 |
Sequential Integration Approach to Fault Diagnosis with Applications Автор: Rajamani Doraiswami Год: 2010 |
Banking IT Mergers of Equals Автор: Khalid Khatib Год: 2010 |
Teaching Complex Cognitive Skills Автор: Jung Lim Год: 2010 |
Microarray Image Analysis: An Algorithmic Approach (Chapman&Hall/CRC Computer Science&Data Analysis) Автор: Karl Fraser, Zidong Wang, Xiaohu Liu Год: 2010 |