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

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In this paper we consider a distributed optimization problem, where a set of agents interacting and cooperating locally have as common goal the minimization of a function expressed as a sum of ...

Only during the past decade has it been discovered how, under fairly reasonable conditions, to calculate a solution of a system of n nonlinear equations in n variables. The technique utilized was the ...

Photovoltaic (PV) inverters can quickly and flexibly offer reactive power support, aiding in voltage regulation and reducing losses in distribution networks. However, as the number of parameters to be ...

The feasible solution is obtained by adapting the goal programming method, in which the weighting factors depending on maximum allowable performance variables and performance sensitivities are used.

Researchers utilize mixed-integer linear programming and nonlinear programming formulations for neural networks, (26−30) tree ensembles, (31−34) and decision trees. (9,35,36) Additionally, several ...