Derivative-free optimization algorithms for non-smooth black-box problems: a novel algorithm and its application to energy systems
Event details
| Date | 19.09.2014 |
| Hour | 10:00 |
| Speaker | Prof. Emanuele Martelli, Politecnico di Milano |
| Location | |
| Category | Conferences - Seminars |
In the areas of chemical processes and energy systems, the relevance of black-box optimization problems is growing because they arise not only in the optimization of processes with modular/sequential simulation codes but also when decomposing complex optimization problems into bilevel programs, or when optimizing. The objective function is typically discontinuous, non-differentiable, not defined in some points, noisy, and subject to linear and nonlinear relaxable and unrelaxable constraints.
Dr. Martelli, after briefly reviewing the main available derivative-free methods applicable to this class of problems, will present PGS-COM, the hybrid algorithm he recently developed with Prof. E. Amaldi, and its applications in the area of process engineering and energy systems. The algorithm combines the positive features of the Particle Swarm Optimizer, Generating Set Search, and Complex.
The performance of PGS-COM has been benchmarked against eleven state-of-the-art derivative-free methods and tested on several process engineering problems, including the optimization of CO2 capture processes (e.g., Rectisol and Selexol), Gas-Steam turbine Combined Cycles for special applications, and Organic Rankine Cycles.
Bio:
2010: PhD degree in Energy at Politecnico di Milano
2007: Visiting Student Research Collaborator at Princeton University
2006: Master degree in Mechanical Engineer at Politecnico di Milano
Main steps in academic career and work experiences:
July-September 2014: Invited Professor at EPFL
Since January 2012: Assistant Professor at Politecnico di Milano
July-December 2011: "Adjunct Professor" for the master level course " Energy Systems"
2011: Consultant for Princeton University
February 2008 and March 2009: Research collaborator at Princeton University
Since 2009: tutor for the course "Global changes and sustainability" at Alta Scuola Politecnica
Dr. Martelli, after briefly reviewing the main available derivative-free methods applicable to this class of problems, will present PGS-COM, the hybrid algorithm he recently developed with Prof. E. Amaldi, and its applications in the area of process engineering and energy systems. The algorithm combines the positive features of the Particle Swarm Optimizer, Generating Set Search, and Complex.
The performance of PGS-COM has been benchmarked against eleven state-of-the-art derivative-free methods and tested on several process engineering problems, including the optimization of CO2 capture processes (e.g., Rectisol and Selexol), Gas-Steam turbine Combined Cycles for special applications, and Organic Rankine Cycles.
Bio:
2010: PhD degree in Energy at Politecnico di Milano
2007: Visiting Student Research Collaborator at Princeton University
2006: Master degree in Mechanical Engineer at Politecnico di Milano
Main steps in academic career and work experiences:
July-September 2014: Invited Professor at EPFL
Since January 2012: Assistant Professor at Politecnico di Milano
July-December 2011: "Adjunct Professor" for the master level course " Energy Systems"
2011: Consultant for Princeton University
February 2008 and March 2009: Research collaborator at Princeton University
Since 2009: tutor for the course "Global changes and sustainability" at Alta Scuola Politecnica
Practical information
- General public
- Free
Organizer
- Mian Alberto <[email protected]>
Contact
- Mian Alberto <[email protected]>