INFORMS Open Forum

Dear Colleagues,

Based on several requests, we extend the deadline for the Special Issue on Advanced in Computational Optimization and Their Modern Applications, to be published in Optimization Letters to December 1, 2022. 

Topics of interest include, but are not limited to:

• Optimization methods in machine learning
• The interface between optimization and artificial intelligence
• Reinforcement learning approaches for optimization problems
• Exact and approximate optimization algorithms assisted by machine learning approaches
• Constraint programming and decision diagrams
• Computational stochastic optimization
• Computational optimization and open-source solvers
• Computational methods in integer programming, mixed-integer linear programming, and mixed-integer nonlinear programming
• Heuristic search methods
• Multi-objective optimization
• Computational approaches for modern operations research problems in various applications: logistics, scheduling, production, transportation, energy, humanitarian logistics, healthcare, social sciences, robotics, etc.

For the details, please see: https://www.springer.com/journal/11590/updates/20356636

If you have any questions, please feel free to contact us.

Thanks,
Chang

Guest Editors

• Hadi Charkhgard, University of South Florida, U.S.A., hcharkhgard@usf.edu
• Jinkyoo Park, KAIST, Korea, jinkyoo.park@kaist.ac.kr
• Changhyun Kwon, University of South Florida, U.S.A., chkwon@usf.edu

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Changhyun Kwon
Associate Professor
University of South Florida
Tampa FL
www.chkwon.net
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