Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At its ...

Abstract: In this study, a novel optimal tracker is developed for the linear quadratic tracking (LQT) problem using an output–feedback adaptive dynamic programming (ADP) framework. By leveraging the ...

Abstract: The Quadratic Assignment Problem (QAP) is a combinatorial optimization problem that seeks a one-to-one assignment of facilities to locations to minimize total logistics cost, given flows ...