[Iefac.list] Deadline Extended: Special Issue on Advanced in Computational Optimization and Their Modern Applications

[Changhyun Kwon]

Dear Colleagues,

Based on several requests, we extend the deadline for the Special Issue on Advances 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 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>

--
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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