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 ...

This research aims to develop an intelligent framework that integrates wage design, productivity performance, and ...

Abstract: This article is devoted to fixed-time (FXT) output optimization for heterogeneous linear multiagent systems (MASs) by proposing distributed piecewise protocols. By introducing an auxiliary ...

Abstract: Safe Bayesian optimization (BO) with Gaussian processes is an effective tool for tuning control policies in safety-critical real-world systems, specifically due to its sample efficiency and ...

Write down the Linear Program (LP) relaxation of an IP Plot the graphical representation of an IP and find the optimal solution Understand the relationship between optimal solution of an IP and the ...