learning

An optimization framework to provide volunteers with task selection autonomy and group opportunities

  • Milan Preet Kaur
  • Jennifer Pazour
    • Categories Applications - OR and Management Sciences Tags , , , , , , , ,

    Abstract Nonprofit Organizations (NPOs) rely on volunteers to support community needs but struggle with making strategic volunteer-to-task assignments to enable volunteer satisfaction, and completion of complex tasks. Creation of volunteer groups and their assignment to NPO tasks can help achieve these goals by providing volunteers with opportunity for networking, collaboration, and peer learning. However, strategically … Read more

    Learning Dynamical Systems with Side Information

  • Amir Ali Ahmadi
  • Bachir El Khadir
    • Categories Convex Optimization, Semi-definite Programming, Systems governed by Differential Equations Optimization Tags , , ,

    We present a mathematical and computational framework for the problem of learning a dynamical system from noisy observations of a few trajectories and subject to side information. Side information is any knowledge we might have about the dynamical system we would like to learn besides trajectory data. It is typically inferred from domain-specific knowledge or … Read more

    A Framework for Adaptive Open-pit Mining Planning under Geological Uncertainty

  • Margaret Armstrong
  • Tito Homem-de-Mello
  • Guido Lagos
  • Tomas Lagos
  • Denis Saure
    • Categories Dynamic Programming, Scheduling, Stochastic Programming Tags , , , ,

    Mine planning optimization aims at maximizing the profit obtained from extracting valuable ore. Beyond its theoretical complexity (the open-pit mining problem with capacity constraints reduces to a knapsack problem with precedence constraints, which is NP-hard), practical instances of the problem usually involve a large to very large number of decision variables, typically of the order … Read more

    Monitoring With Limited Information

  • Dan Iancu
  • Nikolaos Trichakis
  • Do Young Yoon
    • Categories Applications - OR and Management Sciences, Dynamic Programming, Robust Optimization Tags , , ,

    We consider a system with an evolving state that can be stopped at any time by a decision maker (DM), yielding a state-dependent reward. The DM does not observe the state except for a limited number of monitoring times, which he must choose, in conjunction with a suitable stopping policy, to maximize his reward. Dealing … Read more