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 ...

In this project, I worked with 16 real-life optimization problems; constructed their mathematical models, and found their optimal solution using CBC and CPLEX solver by employing AMPL software and the ...

Benchmark instances modelling the supply chain of a fictive company producing and selling cell phones and accessories of different types. The instances formulate typical mixed-integer linear ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

Abstract: Machine Learning (ML)-based optimization frameworks emerge as a promising technique for solving large-scale Mixed Integer Linear Programs (MILPs), as they can capture the mapping between ...

DUBLIN--(BUSINESS WIRE)--Research and Markets(http://www.researchandmarkets.com/research/799091/deterministic_oper) has announced the addition of John Wiley and Sons ...

Abstract: Line switching is used in power system operation to alleviate branch overloads. This work presents a mixed-integer linear programming algorithm that determines the optimal switching ...

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