Dynamic Nonlinear Active Noise Control: A Multi-objective Evolutionary Computing Approach

DOI10.1007/978-3-030-26458-1_23zbMath1436.90172OpenAlexW2799824920MaRDI QIDQ3296264

Rohan Patidar, Nithin V. George, Apoorv P. Patwardhan

Publication date: 7 July 2020

Published in: Nature-Inspired Methods for Metaheuristics Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-26458-1_23

zbMATH Keywords

differential evolutionparticle swarm optimizationcuckoo search algorithmfunctional-link artificial neural networknon-domination sorting genetic algorithm IInonlinear active noise control

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Cites Work

• Unnamed Item
• Adaptive reduced feedback FLNN filter for active control of nonlinear noise processes
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Design of Adaptive Exponential Functional Link Network-Based Nonlinear Filters

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