Mixed-integer nonlinear programming (MINLP) optimisation constitutes a critical methodology in tackling complex decision-making problems where both discrete choices and continuous variables are ...
Optimal control theory seeks to determine control strategies that drive dynamical systems to meet performance objectives, while mixed-integer optimisation incorporates both continuous and discrete ...
This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...
This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...
Abstract: The operation of flexible energy resources is frequently optimized by means of mixed-integer linear programs. Optimization models often use recurrent constraints to represent resource ...
Jeroslow and Lowe gave an exact geometric characterization of subsets of ℝ𝑛 that are projections of mixed-integer linear sets, also known as MILP-representable or MILP-R sets. We give an alternate ...
Abstract: Quantum computers promise to accelerate binary optimization by reducing exponentially the number of computations needed. We leverage this to solve a family of feasible mixed-integer linear ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results