Nature-Inspired Hybrid Multi-objective Optimization Algorithms in Search of Near-OGRs to Eliminate FWM Noise Signals in Optical WDM Systems and their Performance Comparison

Nowadays, the multi-objective optimizing algorithms which are inspired by nature are widely used in solving the many objectives of NP-complete engineering and industrial design problems. To eliminate one of the prevailing nonlinear optical noise mechanisms, i.e., four-wave mixing noise signals in th...

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Bibliographic Details
Published in:	Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Vol. 102; no. 4; pp. 743 - 769
Main Author:	Bansal, Shonak
Format:	Journal Article
Language:	English
Published:	New Delhi Springer India 01.08.2021 Springer Nature B.V
Subjects:	Algorithms Bandwidths Communications Engineering Computing time Design engineering Engineering Evolutionary computation Four-wave mixing Multiple objective analysis Mutation Networks Noise Optical communication Optical noise Optimization Optimization algorithms Original Contribution Random walk Searching Statistical analysis Wave division multiplexing Wavelength division multiplexing Optimal Golomb ruler Channel-allocation Pareto front Four-wave mixing Multi-objective big bang–big crunch optimization algorithm Multi-objective firefly optimization algorithm
ISSN:	2250-2106, 2250-2114
Online Access:	Get full text
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