Genetic algorithm for the topological design of survivable optical transport networks

RM Morais, C Pavan, AN Pinto… - Journal of optical …, 2010 - opg.optica.org
We develop a genetic algorithm for the topological design of survivable optical transport
networks with minimum capital expenditure. Using the developed genetic algorithm we can …

Multi-objective optimization of asymmetric bit rate partitioning for multipath protection in elastic optical networks

HA Dinarte, KDR Assis, DAR Chaves, RC Almeida Jr… - Computer Networks, 2024 - Elsevier
In survivable elastic optical networks, multi-path protection combined with traffic squeezing
has gained attention. Link-disjoint multipath routing (LD-MPR) and bandwidth squeezing …

[PDF][PDF] List of references on evolutionary multiobjective optimization

CAC Coello - URL< http://www. lania. mx/~ ccoello/EMOO …, 2010 - delta.cs.cinvestav.mx
List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

An evolutionary approach with surrogate models and network science concepts to design optical networks

DRB De Araújo, CJA Bastos-Filho… - … Applications of Artificial …, 2015 - Elsevier
Physical topology design of optical networks is frequently accomplished by using
evolutionary approaches. However, fitness evaluation for this type of problems is time …

Exploring the relationship among traffic, topology, and throughput: towards a traffic-optimal optical network topology design

R Luo, R Matzner, A Ottino, G Zervas… - Journal of Optical …, 2023 - opg.optica.org
The design of optical networks for maximum throughput under diverse traffic demands is a
long-standing NP-hard problem. In this paper, by parameterizing the relationship between …

A performance comparison of multi-objective optimization evolutionary algorithms for all-optical networks design

DRB Araújo, CJA Bastos-Filho… - … IEEE Symposium on …, 2011 - ieeexplore.ieee.org
In this paper we investigate the performance of well known multi-objective optimization
evolutionary algorithms (MOEA) applied to the design of all-optical networks. We focused on …

Memetic evolutionary algorithms to design optical networks with a local search that improves diversity

J Candeias, DRB de Araújo, P Miranda… - Expert Systems with …, 2023 - Elsevier
The last few years have seen an increasing demand for high-capacity Internet services, and
this need has intensified in the years 2020 and 2021. In 2020 and 2021, Internet usage grew …

A multi-objective approach to design all-optical and translucent optical networks considering CapEx and QoT

DAR Chaves, EA Barboza… - 2012 14th …, 2012 - ieeexplore.ieee.org
In this paper we propose a methodology based on an evolutionary multi-objective
optimization algorithm, called NSGA-II to design the topology and define the devices for both …

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

DRB Araújo, CJA Bastos-Filho… - … Systems Design and …, 2011 - ieeexplore.ieee.org
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 …

Physical topology design of optical networks aided by many-objective optimization algorithms

EMN Figueiredo, DRB Araújo… - 2016 5th Brazilian …, 2016 - ieeexplore.ieee.org
In this paper, we investigate the performance of two many-objective evolutionary algorithms
to design optical networks. Many-objective algorithms are a particular class of multi …