The authors have started the development of COPS, a collection of large-scale nonlinearly Constrained Optimization Problems. The primary purpose of this collection is to provide difficult test cases for optimization software. Problems in the current version of the collection come from fluid dynamics, population dynamics, optimal design, and optimal control. For each problem they provide a short description of the problem, notes on the formulation of the problem, and results of computational experiments with general optimization solvers. They currently have results for DONLP2, LANCELOT, MINOS, SNOPT, and LOQO
This report contains a description of subroutines which can be used for testing large-scale optimiza...
Many practical applications involving large complex systems are naturally formulated as mixed-intege...
Computational optimization is an active and important area of study, practice, and research today. I...
The COPS test set provides a modest selection of difficult nonlinearly constrained optimization prob...
The authors describe version 3.0 of the COPS set of nonlinearly constrained optimization problems. T...
SIGLEAvailable from British Library Document Supply Centre- DSC:8715.18040(CCLRC-RAL-TR--95-037) / B...
Abstract. In recent years, much work has been done on imple-menting a variety of algorithms in nonli...
Three years of large-scale PDE-constrained optimization research and development are summarized in t...
Most real world optimization problems, and their corresponding models, are complex. This complexity ...
.<F3.833e+05> This paper describes a software implementation of Byrd and Omojokun's trust...
Dealing with the simulation based optimization problems, this title presents the systematic developm...
We propose an optimal control approach to tackle large scale unconstrained optimization problems. Ou...
The Workshop aims to review and discuss recent advances in the development of methods and algorithms...
The experimental results reported in many papers suggest that making an appropriate a priori choice ...
This paper introduces the COPSO algorithm (Constrained Optimization via Particle Swarm Opti-mization...
This report contains a description of subroutines which can be used for testing large-scale optimiza...
Many practical applications involving large complex systems are naturally formulated as mixed-intege...
Computational optimization is an active and important area of study, practice, and research today. I...
The COPS test set provides a modest selection of difficult nonlinearly constrained optimization prob...
The authors describe version 3.0 of the COPS set of nonlinearly constrained optimization problems. T...
SIGLEAvailable from British Library Document Supply Centre- DSC:8715.18040(CCLRC-RAL-TR--95-037) / B...
Abstract. In recent years, much work has been done on imple-menting a variety of algorithms in nonli...
Three years of large-scale PDE-constrained optimization research and development are summarized in t...
Most real world optimization problems, and their corresponding models, are complex. This complexity ...
.<F3.833e+05> This paper describes a software implementation of Byrd and Omojokun's trust...
Dealing with the simulation based optimization problems, this title presents the systematic developm...
We propose an optimal control approach to tackle large scale unconstrained optimization problems. Ou...
The Workshop aims to review and discuss recent advances in the development of methods and algorithms...
The experimental results reported in many papers suggest that making an appropriate a priori choice ...
This paper introduces the COPSO algorithm (Constrained Optimization via Particle Swarm Opti-mization...
This report contains a description of subroutines which can be used for testing large-scale optimiza...
Many practical applications involving large complex systems are naturally formulated as mixed-intege...
Computational optimization is an active and important area of study, practice, and research today. I...