Mixed Integer Nonlinear Programming Ksenia Bestuzheva 2020 Good introduction to MINLP (a little background noise) Solving Mixed-Integer Nonlinear Programming (MINLP) Problems Marcel Hunting 2016 Lec ...
The feasibility pump is a well-established primal heuristic for mixed integer programming (MIP) that alternates between solving a linear programming (LP) relaxation of the original problem and ...
Mixed-integer quadratic programming (MIQP) is the problem of optimizing a quadratic function over points in a polyhedral set where some of the components are restricted to be integral. In this paper, ...
Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...
We combine Mixed-Integer Programming (MIP) with Machine Learning to find near-optimal portfolios efficiently: maximize: μᵀw - λ·(wᵀΣw) - transaction_costs(w ...
Abstract: This paper presents a non-intrusive load monitoring (NILM) model based on two-stage mixed-integer linear programming theory. Compared with other mixed integer optimization-based models, this ...
Abstract: The rapid evolution of artificial intelligence and IoT (Internet of Things) technology is making autonomous driving an emerging critical trend in open-pit mining operations. However, current ...
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