An efficient multi-objective evolutionary optimizer to design all-optical networks considering physical impairments and CAPEX

In this paper we propose efficient operators for a well known multi-objective evolutionary optimizer, called NSGA II, applied to design all-optical networks regarding the network topology and the device specifications in order to both minimize the capital expenditure to build the network and to maxi...

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Bibliographic Details
Main Authors: Araujo, D. R. B., Bastos-Filho, C. J. A., Barboza, E. A., Chaves, D. A. R., Martins-Filho, J. F.
Format: Conference Proceeding
Language:English
Subjects:
Evolutionary Computation
Genetic Operators
Intelligent systems
Measurement
Multi-objective Optimization
Network topology
Optical fiber networks
Optical Networks
Optical noise
Physical Topology Design
Proposals
Topology
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Summary:In this paper we propose efficient operators for a well known multi-objective evolutionary optimizer, called NSGA II, applied to design all-optical networks regarding the network topology and the device specifications in order to both minimize the capital expenditure to build the network and to maximize the overall network performance. From the experiments, we perceived that it is better to use an uniform crossover, to include preferences a priori and to initialize the individuals emphasizing the network topology.
ISSN:2164-7143
2164-7151
DOI:10.1109/ISDA.2011.6121634