Network Models and Optimization: A Genetic Algorithm Approach objective compound presents in-depth, comprehensive and up-to-date treatment of multiple objective genetic algorithm for network optimization problems in many disciplines, like engineering, computer science, operations research, transportation, telecommunications, and manufacturing. Network Models and Optimization: A Genetic Algorithm Approach compound objective broad, encompassing algorithms and applications, including shortest path problems, minimum cost flow problem, maximum flow problems, minimum spanning tree problem, traveling salesman and postman problems, location-allocation problems, project scheduling problem , multilevel-based scheduling problems, logistics network problems, network communication problems, and the network model on the assembly line balancing problems, and airline fleet assignment problem. Network Models and Optimization: A Genetic Algorithm Approach objective compound can be used both as a textbook as a reference for students and professional practitioners in many disciplines who use network optimization methods to model and solve problems.