Metaheuristic hybridizations for the regenerator placement and dimensioning problem in sub-wavelength switching optical networks

Author:

Pedrola Oscar,Careglio Davide,Klinkowski Miroslaw,Velasco Luis,Bergman Keren,Solé-Pareta Josep

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference35 articles.

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5. Festa, P., Gonçalves, J.F., Resende, M.G.C., Silva, R.M.A., 2010. Automatic tuning of GRASP with path-relinking heuristics with a biased random-key genetic algorithm. In: Festa, P. (Ed.), Experimental Algorithms, Lecture Notes in Computer Science, vol. 6049, pp. 338–349.

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1. Biased random-key genetic algorithms: A review;European Journal of Operational Research;2024-03

2. Random-Key Genetic Algorithms;Handbook of Heuristics;2018

3. Regenerator location problem: Polyhedral study and effective branch-and-cut algorithms;European Journal of Operational Research;2017-02

4. Random-Key Genetic Algorithms;Handbook of Heuristics;2016

5. Problem of Channel Utilization and Merging Flows in Buffered Optical Burst Switching Networks;Advances in Electrical and Electronic Engineering;2013-11-19

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