An immune system inspired clustering and classification method to detect critical areas in electrical power networks

DOI10.1007/S11047-010-9204-2zbMath1213.68129OpenAlexW2146347983MaRDI QIDQ537832

N. C. Woolley, J. V. Milanović

Publication date: 23 May 2011

Published in: Natural Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11047-010-9204-2

zbMATH Keywords

classificationpower systemsclusteringartificial immune systemsAIScritical network areasoverloaded lines

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Distributed systems (68M14)

Related Items (1)

Immune clonal coevolutionary algorithm for dynamic multiobjective optimization

Uses Software

• LIBSVM
• clusfind

Cites Work

• Artificial immune systems -- today and tomorrow
• Support-vector networks
• Immune Systems and Computation: An Interdisciplinary Adventure
• Finding Groups in Data
• Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
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