Modeling and Optimization: Theory and Applications (MOPTA) aims at bringing together a diverse group of people from both discrete and continuous optimization, working on both theoretical and applied aspects. There will be a small number of invited talks from distinguished speakers and contributed talks, spread over three days. Our target is to present a diverse set of exciting new developments from different optimization areas while at the same time providing a setting which will allow increased interaction among the participants. We aim to bring together researchers from both the theoretical and applied communities who do not usually have the chance to interact in the framework of a medium-scale event.
The Department of Industrial and Systems Engineering (ISE) at Lehigh University invites you to contribute and participate in the Modeling and Optimization: Theory and Applications (MOPTA) 2025 Conference, which will take place in Ponta Delgada, Azores, Portugal from June 17-20, 2025, and in the AIMMS/MOPTA Competition.
We are celebrating the 70th Birthday of Professor Tamás Terlaky. MOPTA is the Lehigh ISE flagship conference, founded by Prof. Terlaky, 25 years ago. There will be a Tamas-70 Session and Dinner from June 18, 2025, to celebrate the impactful and long lasting contributions of Tamás to the fields and communities of optimization, operations research, and industrial engineering.
We will be also celebrating Lehigh ISE 100 Anniversary.
MOPTA 2025 will take place in the historic center of Ponta Delgada, on the beautiful Azorean island of São Miguel. Attendees will have sufficient time to visit São Miguel while participating in technical sessions and engaging in discussions on the latest developments in optimization and its applications.
There will be a satellite event, the Portuguese American Optimization Workshop (PAOW), which will take place in Horta, Azores, Portugal from June 13-15, 2025. PAOW will take place in the historic center of Horta, on the beautiful Azorean island of Faial. PAOW is primarily focused on continuous optimization and its applications to machine learning.
See flyer with photos and additional information.