Optimization in Industry
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Chair: Dr. Oliver Cuate Optimization is present in everyday life, not only in our daily problems but also in the most relevant aspects of the industry. Such applications are increasingly demanding, which has led to the emergence of complex optimization problems that, as a consequence, require more sophisticated solution processes. Currently, it is common to be faced with large-scale optimization problems (i.e., where the number of variables is high), many objective optimization problems (i.e., problems where more than four goals have to be optimized concurrently) and instances with complex constraints (such as equality constraints). Besides, the decision-making process is also an important aspect that must be taken into account in real-world problems. This special session serves as a platform for researchers from all over the world to present and discuss recent advances in optimization applied to complex problems, which are still a challenge for both academia and industry. The aim is the presentation of new challenges by the industry and the proposal of new solution methods by the researchers. |
Topics of interest include (but are not limited to):
- single and multi-objective optimzation
- many objective optimization
- large scale optimization
- multi-level optimization
- decision-making process
- metaheuristics
- constraint handling
- modeling and simulation
- real-world applications
All submission will be peer-reviewed by a panel of international experts.
Contact: Dr. Oliver Fernando Cuate González This email address is being protected from spambots. You need JavaScript enabled to view it.
Short Bio: Oliver Cuate is a postdoctoral researcher at the CINVESTAV-IPN, Mexico. His research interests include multi- and many objective optimization, continuation methods, and decision making. He received his Ph.D. in Computer Science from CINVESTAV-IPN, Mexico, as well as his master's degree. He first studied engineering in maths and received his bachelor's degree at the ESFM-IPN Mexico.