A particle swarmaBFGS algorithm for nonlinear programming problems

This article proposes a hybrid optimization algorithm based on a modified BFGS and particle swarm optimization to solve medium scale nonlinear programs. The hybrid algorithm integrates the modified BFGS into particle swarm optimization to solve augmented Lagrangian penalty function. In doing so, the...

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Veröffentlicht in:	Computers & operations research 2013-04, Vol.40 (4), p.963-972
Hauptverfasser:	Nezhad, Ali, Shandiz, Roohollah, Jahromi, Abdolhamid
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Convergence Dealing Exploration Nonlinear programming Nonlinearity Operations research Optimization Swarm intelligence
Online-Zugang:	Volltext
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