NLPJOB - A Fortran Implementation for Multicriteria Optimization
Version 4.6 (2012)
NLPJOB solves multicriteria optimization problems, i.e.,
constrained nonlinear programming problems with more than one objective function.
By using a suitable transformation, a scalar nonlinear problem is created
and solved by NLPQLP.
Available are 15 different options to formulate the scalar subproblem. Weights,
bounds and type of the scalar objective function are predetermined in the
NLPJOB is a double precision FORTRAN subroutine where all
parameters are passed through subroutine arguments. Problem functions
and gradients must be provided by the user by reverse communication.
full documentation by initial comments
Fortran source code (close to F77, conversion to C by f2c
NLPJOB is implemented as part of the structural mechanical
optimization system MBB-LAGRANGE. Users include Shell, Ecole des Mines d'Albi, University of
Central Florida, National University of Ireland, Hohai University, University of
Notre Dame, University of Jyvaeskylae, Technical University of Munich, and