Abstract: This work proposes a novel stochastic model predictive control (SMPC) approach based on mixed-integer quadratic programming (MIQP) for discrete-time linear time-invariant systems subject to ...

Multi-agent task allocation plays a crucial role in achieving efficient collaboration in heterogeneous multi-agent systems, especially in complex and dynamic environments. However, existing ...

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: Integer linear programming (ILP) is an exact method for solving optimization problems; however, its application to large-scale scenarios often becomes impractical due to its exponentially ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...

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Robust charging schedules for a growing market of battery-electric bus (BEB) fleets are critical to successful adoption. In this paper, we present a BEB charging scheduling framework that considers ...

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