[Iefac.list] CFP: Special Issue: Advances in Computational Optimization and Their Modern Applications

[Changhyun Kwon]

Dear Colleagues,

We are inviting submissions to a special issue<https://www.springer.com/journal/11590/updates/20356636> of Optimization Letters with focus on  Advances in Computational Optimization and Their Modern Applications.

Topics

This special issue of Optimization Letters is open to all areas of computational optimization, from theoretical research to practical applications, with a particular emphasis on machine learning problems and integrations of machine learning and computational optimization. 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.

Important Dates

Submission Deadline: September 30, 2022 (We encourage early submissions)

Guest Editors

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


You can find the details here: https://www.springer.com/journal/11590/updates/20356636


Best Regards,
Chang



--
Changhyun Kwon, Ph.D.

Associate Professor
Industrial and Management Systems Engineering
University of South Florida

Office Location: ENC 2506
Office Phone: 813-974-5588
Web: https://www.chkwon.net






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