An adaptive inertia weight teaching-learning-based optimization algorithm and its applications

DOI10.1016/J.APM.2019.07.046zbMath1443.90334OpenAlexW2965762530MaRDI QIDQ1988654

Alok Kumar Shukla, Manu Vardhan, P. Singh

Publication date: 24 April 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2019.07.046

zbMATH Keywords

classificationmetaheuristicbenchmarkinertia weightgene selectionteaching learning-based optimization

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Protein sequences, DNA sequences (92D20)

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Cites Work

• A survey on optimization metaheuristics
• On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems
• Identification of potential biomarkers on microarray data using distributed gene selection approach

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