The subproblem of the C&CG procedure is a special BiMIP, thus can be solved by PowerBiMIP efficiently. PowerBiMIP now offers a solver interface specifically designed for two-stage robust optimization ...

Abstract: Unit commitment problems can be solved more efficiently with mixed integer linear programming solvers when more preferred hyperparameters are configured. We propose a learning approach to ...

This project uses ordinal optimization for computationally efficient sizing of a hybrid energy system containing PV panels, batteries, diesel generators, and an intermittent grid. It also utilizes ...

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 ...

Integer programming is a crucial branch of mathematical optimisation that focuses on problems where some or all decision variables are constrained to be integers. This field underpins many practical ...

1 Robotics and Mechanisms Laboratory, Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, United States 2 The Laboratory for Intelligent Decision and ...

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 ...