Author(s)

D. Savin & S.T. Alkass

Abstract

A procedure for estimating the Lagrange multipliers, suitable for a neural network (NN) model for construction resource leveling (RL), is presented. The procedure uses a modied variable-reduction technique, in conjunction with some helpful suggestions on how to choose the initial values of the Lagrange multipliers. The model has been previously developed by mapping a formulation of the RL problem as an augmented Lagrangian multiplier (ALM) optimization, onto an articial neural network (ANN) architecture, employing a Hopeld-conguration of NN. In order to ensure the convergence of the NN model, a good estimate of the initial values of the Lagrange multipliers is needed. First, a non-singular decomposition of the constraint matrix is constructed, by taking into account at l

Keywords