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 project focuses on solving a bi-objective linear programming problem using various optimization techniques in MATLAB. The objective is to identify Pareto optimal solutions through different ...

This project focuses on solving a bi-objective linear programming problem using various optimization techniques in MATLAB. The objective is to identify Pareto optimal solutions through different ...

Abstract: A linear programming (LP) technique that performs rate-distortion based optimization for constrained video coding is introduced. Given the assumption of piecewise linear and convex ...

Abstract: This paper describes a linear programming optimization model to minimize the cutting waste in production of steel frames for school tables in a carpentry workshop. School tables are ...

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 ...

Deciding how best to use limited resources is a universal issue that spares no individual or business. In today’s competitive quarter-to quarter environment, it’s critically important to your ...

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