On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems

DOI10.1155/DDNS/2006/79295zbMath1101.49025MaRDI QIDQ850861

M. Senthil Arumugam, M. V. C. Rao

Publication date: 7 November 2006

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

Full work available at URL: https://eudml.org/doc/126790

Mathematics Subject Classification ID

Related Items (6)

Chaos embedded particle swarm optimization algorithms ⋮ Particle swarm optimization with various inertia weight variants for optimal power flow solution ⋮ Radial basis function neural network based on an improved exponential decreasing inertia weight-particle swarm optimization algorithm for AQI prediction ⋮ About the stability and positivity of a class of discrete nonlinear systems of difference equations ⋮ An adaptive inertia weight teaching-learning-based optimization algorithm and its applications ⋮ Cooperative bacterial for aging optimization

Uses Software

• Genocop

Cites Work

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• Modeling, analysis and optimal control of a class of hybrid systems
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• Forward decomposition algorithms for optimal control of a class of hybrid systems
• Optimization and nonsmooth analysis
• Optimal control of a class of hybrid systems
• An improved forward algorithm for optimal control of a class of hybrid systems

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