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.

This project focuses on solving various Linear Programming (LP) problems using Python. LP is a mathematical method for determining the optimal allocation of limited resources to achieve a specific ...

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints.

Successive Linear Programming (SLP), which is also known as the Method of Approximation Programming, solves nonlinear optimization problems via a sequence of linear programs. This paper reports on ...

Katsujiro Tachikawa, Hitomi Sakai, A Multi-Objective Optimization Method by Sequential Linear Programming, SAE Transactions, Vol. 97, Section 4: JOURNAL OF PASSENGER CARS (1988), pp. 901-907 ...

This paper focuses on the research and application of linear optimization algorithm and grey Wolf optimization algorithm, takes the energy storage system configuration optimization of the park energy ...