of Process System - part II
Optimization of process system – part II
Feb-May 2014, PhD course at Chemical Engineering, Lund University
This is a continuation of the course KET070F, Optimization of process system.
This course is focus on two parts:
I. alternative formulations of optimization problems and the properties of alternative solution methods
II. the technique and skill to formulate and reformulate optimization problems and solve them in a set of computer tools.
Content and schedule
1. Trajectory optimization (March), 3/3 15.30 Introduction
I. Simultaneous method (collocation) and sequential methods ( multi-shooting)
II. MATLAB based tools and JModelica based tools
2. Multi-objective optimization and differential evolution methods (April),
I. Formulation of optimization problems, Pareto optimization and its properties,
II. DE-optimization in MATLAB using computer cluster
3. Robust optimization (May),
I. Deterministic (worst-case) and stochastic (probabilistic) formulation
II. MATLAB based tools
MATLAB and mainly
Optimization and Global Optimization toolboxes.
Python, JModelica.org and CasADi framework
Format: Course is a set of workshops with a common
Examination: active participation at workshop and contribution to the final course report
Points: 5 hp
Contact: Anders Holmqvist or Bernt Nilsson