This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...

Abstract: A Mixed Integer Linear Program (MILP) formulation of NAS-wide beacon code assignment in the CONUS is presented. The optimization model is also tested with historical data and results ...

Overview Our approach introduces the first general Learning-to-Optimize (L2O) framework designed for Mixed-Integer Nonlinear Programming (MINLP). As illustrated above, the approach consists of two ...

Mixed-integer nonlinear programming (MINLP) optimisation constitutes a critical methodology in tackling complex decision-making problems where both discrete choices and continuous variables are ...

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 purpose of this paper is to explore the optimization strategy of crop cultivation through random number method and mixed integer planning model. Firstly, taking North China as the ...