Eigenvalue spread criteria in the particle swarm optimization algorithm for solving of constraint parametric problems

DOI10.1016/j.amc.2007.02.152zbMath1193.45029OpenAlexW2098531875MaRDI QIDQ990486

Sohrab Effati, Hadi Sadoghi Yazdi

Publication date: 1 September 2010

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2007.02.152

zbMATH Keywords

PSO algorithmconstraint parametric programmingeigenvalue spread

Mathematics Subject Classification ID

Integro-ordinary differential equations (45J05)

Related Items (1)

Constraint learning using adaptive neural‐fuzzy inference system

Cites Work

• Unnamed Item
• A new nonlinear neural network for solving a class of constrained parametric optimization problems
• Advances in sensitivity analysis and parametric programming
• Optimization of Nonlinear Mechanical Systems under Constraints with the Particle Swarm Method
• Linear Inequalities and Related Systems. (AM-38)
• Model predictive control based on linear programming - the explicit solution

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