Design of an optimal communication network using multiobjective genetic optimization

被引：0
|
作者：
Kumar, R [1 ]
Krishnan, VP [1 ]
Santhanakrishnan, KS [1 ]
机构：
[1] Birla Inst Technol & Sci, Dept Comp Sci & Informat Syst, Pilani 333031, Rajasthan, India
来源：
PROCEEDINGS OF IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY 2000, VOLS 1 AND 2 | 2000年
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D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Designing an optimal network requires careful optimization of conflicting requirements. It is an NP hard problem Traditional approaches to this problem have been based either on heuristics or on rigorous mathematical programming, queuing theory and network now concepts. In this work we describe the use of the multi-objective genetic optimization technique to obtain a Pareto front - a set of solutions which are optimal with respect to a set of constraints and non-inferior to each other - for the network design problem. A prototype is developed and is the simulator is currently being tested on different sets of inputs.
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页码：515 / 520
页数：6
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