TAILIEUCHUNG - Tối ưu hóa viễn thông và thích nghi Kỹ thuật Heuristic P3

The efficient design of telecommunication networks has long been a challenging optimization problem. It is made difficult by the conflicting, interdependent requirements necessary to optimize the network’s performance. The goal of the designer is to produce a minimum cost network that allows maximum flow of information (in the form of messages) between multiple source-sink pairs of nodes that simultaneously use the network. An optimum design method must also produce a network topology that efficiently routes these messages within an acceptable amount of time. | Telecommunications Optimization Heuristic and Adaptive Techniques. Edited by David W. Corne Martin J. Oates George D. Smith Copyright 2000 John Wiley Sons Ltd ISBNs 0-471-98855-3 Hardback 0-470-84163X Electronic 3 Efficient Network Design using Heuristic and Genetic Algorithms Jeffrey Blessing Introduction The efficient design of telecommunication networks has long been a challenging optimization problem. It is made difficult by the conflicting interdependent requirements necessary to optimize the network s performance. The goal of the designer is to produce a minimum cost network that allows maximum flow of information in the form of messages between multiple source-sink pairs of nodes that simultaneously use the network. An optimum design method must also produce a network topology that efficiently routes these messages within an acceptable amount of time. The problem of designing minimum-cost multi-commodity maximum-flow networks with efficient routing of messages in a synthesized network topology is NP-complete Clementi and Di Ianni 1996 Gavish 1992 King-Tim et al. 1997 . NP-complete problems are those for which no known algorithm can find the optimum solution besides brute force exhaustive approaches. Thus the challenge is to develop algorithms that run in polynomial time which produce designs as near as possible optimum. Since lower bounds on the network design problem are only known for simple cases involving only one type of communication link for instance Dutta and Mitra 1993 Ng and Hoang 1983 1987 Gerla and Kleinrock 1977 the method of choice for selecting good algorithms is to compare their results on identical problems. The approach taken in this chapter is to implement several of the best known methods in order to objectively compare them on randomly generated instances of the network design problem. Telecommunications Optimization Heuristic and Adaptive Techniques edited by D. Corne . Oates and . Smith 2000 John Wiley Sons Ltd 36 .

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