Using Augmented Lagrangian Particle Swarm Optimization for Constrained Problems in Engineering

120 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data (2013, unknown): “Augmented Lagrangian PSO was proposed to solve the optimization problem with equal and unequal constraints (Sedlaczek and Eberhard 2006).”
A ranking selection-based particle swarm optimizer for engineering design optimization problems (2008, methodology): “Sedlaczek and Eberhard (2006) combined the standard PSO with an extended nonstationary penalty function approach, called augmented Lagrange multiplier method, for constraint handling.”