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Showing posts with label MultiObjective. Show all posts
Showing posts with label MultiObjective. Show all posts

Multi-Objective Programming in the USSR (Statistical Modeling and Decision Science)

Multi-Objective Programming in the USSR (Statistical Modeling and Decision Science) Review










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Overviews

A text intended for western and eastern research and academic communities, especially in operations research, system analysis, and management and decision science. The area of multi-objective programming has become increasingly active in operations research, applied mathematics and decision and management science because of its usefulness in solving problems ranging from engineering to economics. This book summarizes the massive, important, and original Soviet research in this area. It presents an important corpus of mathematical research never before made available in the West. The author brings together the exposition and analysis of a wide range of mehtods in the fields of multi-objective programming, as developed in the USSR during the last 20 years.

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Multi-Objective Optimization in Computer Networks Using Metaheuristics

Multi-Objective Optimization in Computer Networks Using Metaheuristics Review










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Overviews

Metaheuristics are widely used to solve important practical combinatorial optimization problems. Many new multicast applications emerging from the Internet-such as TV over the Internet, radio over the Internet, and multipoint video streaming-require reduced bandwidth consumption, end-to-end delay, and packet loss ratio. It is necessary to design and to provide for these kinds of applications as well as for those resources necessary for functionality.

Multi-Objective Optimization in Computer Networks Using Metaheuristics provides a solution to the multi-objective problem in routing computer networks. It analyzes layer 3 (IP), layer 2 (MPLS), and layer 1 (GMPLS and wireless functions). In particular, it assesses basic optimization concepts, as well as several techniques and algorithms for the search of minimals; examines the basic multi-objective optimization concepts and the way to solve them through traditional techniques and through several metaheuristics; and demonstrates how to analytically model the computer networks presented within the text.

The book then focuses on the multi-objective models in computer networks, optical networks, and wireless networks and the applied way they can be solved. This resource also contains annexes that present the source code to solve the mathematical model problems present in the book through solvers and source codes programmed in C language, which solve some of the multi-objective optimization problems presented in the book.

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