Ability to develop mathematical programming formulations for classical engineering design problems,
Ability to use computer software (MATLAB, GAMS) to solve process optimization problems
Ability to evaluate critically the solutions obtained using numerical software
Basic principles and definitions.
Necessary conditions for optimality.
General structure of optimization algorithms.
Optimization without constraints.
Linear and non-linear programming.
Applications to the design of chemical/biochemical plants.
Tuning of classical, fixed structure controllers, using classical optimization methodologies.
Optimal Control problems and their numerical solution.
LECTURES: 3 h/w
Total Module Workload (ECTS Standards):
Final exam, weekly projects.
1. I. Kookos & A. Koutinas, Process and Systems Optimization, Tziola Publishing, 2014, in Greek
2. H. Taha, Operational Research, Tziola Publishing, 2007, translation in Greek