Multi-Objective Optimization in Computer Networks Using Metaheuristics: 1st Edition (Hardback) book cover

Multi-Objective Optimization in Computer Networks Using Metaheuristics

1st Edition

By Yezid Donoso, Ramon Fabregat

Auerbach Publications

472 pages | 149 B/W Illus.

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Hardback: 9780849380846
pub: 2007-03-23
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pub: 2016-04-19
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Description

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.

Reviews

"… a solid and comprehensive introduction to broadband communications… clear explanations in an extremely readable style and format … [Dr. Littman] makes sense out of the recent explosive growth in high-performance high-speed networks … capture[s] the excitement of recent innovations in this dynamic domain."

- Kay E. Vandergrift, Rutgers University and Jane Anne Hannigan, Columbia University

Table of Contents

OPTIMIZATION CONCEPTS

Local Minimum

Global Minimum

Convex and Nonconvex Sets

Convex and Concave Functions

Minimum Search Techniques

MULTI-OBJECTIVE OPTIMIZATION CONCEPTS

Single-Objective versus Multi-objective Optimization

Traditional Methods

Metaheuristics

Multi-objective Solution Applying Metaheuristics

COMPUTER NETWORK MODELING

Computer Networks: Introduction

Computer Network Modeling

ROUTING OPTIMIZATION IN COMPUTER NETWORKS

Concepts

Optimization Functions

Constraints

Functions and Constraints

Single-Objective Optimization Modeling and Solution

Multi-objective Optimization Modeling

Obtaining a Solution Using Metaheuristics

MULTI-OBJECTIVE OPTIMIZATION IN OPTICAL NETWORKS

Concepts

New Optimization Functions

Redefinition of Optic Transmission Functions

Constraints

Functions and Constraints

Multi-objective Optimization Modeling

Obtaining a Solution Using Metaheuristics

MULTI-OBJECTIVE OPTIMIZATION IN WIRELESS NETWORKS

Concepts

New Optimization Function

Constraints

Function and Constraints

Multi-objective Optimization Modeling

Obtaining a Solution Using Metaheuristics

ANNEX A

ANNEX B

ANNEX C

Subject Categories

BISAC Subject Codes/Headings:
COM043000
COMPUTERS / Networking / General
TEC007000
TECHNOLOGY & ENGINEERING / Electrical
TEC061000
TECHNOLOGY & ENGINEERING / Mobile & Wireless Communications