Particle swarm optimization with various inertia weight variants for optimal power flow solution

DOI10.1155/2010/462145zbMath1195.90095OpenAlexW1986878793WikidataQ58650817 ScholiaQ58650817MaRDI QIDQ1958766

M. Senthil Arumugam, C. Venkataseshaiah, Prabha Umapathy

Publication date: 29 September 2010

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/229053

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Deterministic network models in operations research (90B10)

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Cites Work

• On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems
• An Interior Point Algorithm for Large-Scale Nonlinear Programming

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