Network models are critical tools in business, management, science and
industry. "Network Models and Optimization" 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. The book extensively covers
algorithms and applications, including shortest path problems, minimum
cost flow problems, maximum flow problems, minimum spanning tree
problems, traveling 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. The book can be used both as a student textbook and
as a professional reference for practitioners who use network
optimization methods to model and solve problems.