عنوان

Multi-objective optimization in computer networks using metaheuristics /

شابک

1420013629

شابک

1466526521

شابک

9781420013627

شابک

9781466526525

شابک اشتباه

0849380847

شابک اشتباه

9780849380846

شماره

b789645

عنوان اصلي

Multi-objective optimization in computer networks using metaheuristics /

نام عام مواد

[Book]

نام نخستين پديدآور

Yezid Donoso, Ramon Fabregat.

محل نشرو پخش و غیره

Boca Raton :

نام ناشر، پخش کننده و غيره

Auerbach Publications,

تاریخ نشرو بخش و غیره

©2007.

نام خاص و کميت اثر

1 online resource (xvi, 449 pages) :

ساير جزييات

illustrations

متن يادداشت

Includes bibliographical references (pages 435-440) and index.

متن يادداشت

Cover -- TOC36;Contents -- CH36;1 Optimization Concepts -- 146;1 Local Minimum -- 146;2 Global Minimum -- 146;3 Convex and Nonconvex Sets -- 146;4 Convex and Concave Functions -- 146;5 Minimum Search Techniques -- 146;546;1 Breadth First Search -- 146;546;2 Depth First Search -- 146;546;3 Best First Search -- CH36;2 Multi45;Objective Optimization Concepts -- 246;1 Single45;Objective versus Multi45;Objective Optimization -- 246;2 Traditional Methods -- 246;246;1 Weighted Sum -- 246;246;2 38;35;94959;45;Constraint -- 246;246;3 Distance to a Referent Objective Method -- 246;246;4 Weighted Metrics -- 246;246;5 The Benson Method -- 246;3 Metaheuristics -- 246;346;1 Convergence Toward Optimal -- 246;346;2 Optimal Solutions Not Withstanding Convexity of the Problem -- 246;346;3 Avoiding Local OptimaL -- 246;346;4 Polynomial Complexity of Metaheuristics -- 246;346;5 Evolutionary Algorithms -- 246;346;6 Ant Colony -- 246;346;7 Memetic Algorithm -- 246;346;8 Tabu Search -- 246;346;9 Simulated Annealing -- 246;4 Multi45;Objective Solution Applying Metaheuristics -- 246;446;1 Procedure to Assign Fitness to Individuals -- 246;446;2 Reducing the Nondominated Set Using Clustering -- CH36;3 Computer Network Modeling -- 346;1 Computer Networks58; Introduction -- 346;146;1 Reference Models -- 346;146;2 Classification of Computer Networks Based on Size -- 346;146;3 Classification of Computer Networks Based on Type of Transmission -- 346;2 Computer Network Modeling -- 346;246;1 Introduction to Graph Theory -- 346;246;2 Computer Network Modeling in Unicast Transmission -- 346;246;3 Computer Networks Modeling in Multicast Transmission -- CH36;4 Routing Optimization in Computer Networks -- 446;1 Concepts -- 446;146;1 Unicast Case -- 446;146;2 Multicast Case -- 446;2 Optimization Functions -- 446;246;1 Hop Count -- 446;246;2 Delay -- 446;246;3 Cost -- 446;246;4 Bandwidth Consumption -- 446;246;5 Packet Loss Rate -- 446;246;6 Blocking Probability -- 446;246;7 Maximum Link Utilization -- 446;246;8 Other Multicast Functions -- 446;3 Constraints -- 446;346;1 Unicast Transmission -- 446;346;2 Multicast Transmission -- 446;4 Functions and Constraints -- 446;446;1 Unicast Transmissions -- 446;446;2 Multicast Transmissions -- 446;5 Single45;Objective Optimization Modeling and Solution -- 446;546;1 Unicast Transmission Using Hop Count and Delay -- 446;546;2 Multicast Transmission Using Hop Count and Delay -- 446;546;3 Unicast Transmission Using Hop Count44; Delay44; and Bandwidth Consumption -- 446;546;4 Multicast Transmission Using Hop Count44; Delay44; and Bandwidth Consumption -- 446;546;5 Unicast Transmission Using Hop Count44; Delay44; Bandwidth Consumption44; and Maximum Link Utilization -- 446;546;6 Multicast Transmission Using Hop Count44; Delay44; Bandwidth Consumption44; and Maximum Link Utilization -- 446;6 Multi45;Objective Optimization Modeling -- 446;646;1 Unicast Transmission -- 446;646;2 Multicast Transmission -- 446;7 Obtaining a Solution Using Metaheuristics -- 446;746;1 Unicast for the Hop Count and Delay Functions -- 446;746;2 Multicast for the Hop Count and Delay Functions.

بدون عنوان

0

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

eBook Library

شماره انبار

EBL289395

عنوان

Multi-objective optimization in computer networks using metaheuristics.

شماره استاندارد بين المللي کتاب و موسيقي

9780849380846

موضوع مستند نشده

Computer networks.

موضوع مستند نشده

Mathematical optimization.

موضوع مستند نشده

Computer networks.

موضوع مستند نشده

COMPUTERS-- Data Transmission Systems-- General.

موضوع مستند نشده

COMPUTERS-- Networking-- Vendor Specific.

موضوع مستند نشده

Mathematical optimization.

موضوع مستند نشده

COM-- 020000

موضوع مستند نشده

COM-- 043060

موضوع مستند نشده

UT

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Donoso, Yezid.

مستند نام اشخاص تاييد نشده

Fabregat, Ramon,1963-

تاريخ عمليات

20201207030417.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y