This article introduces a new class of memristor neural networks (NNs) for solving, in real-time, quadratic programming (QP) and linear programming (LP) problems. The networks, which are called ...

Iqbal, S., Yaqoob, N. and Gulistan, M. (2023) Multi-Objective Non-Linear Programming Problems in Linear Diophantine Fuzzy Environment. Axioms, 12, Article 1048.

We formulate this problem as a nonlinear Generalized Disjunctive Program (GDP), which, following transformation, results in a large-scale mixed-integer nonlinear programming (MINLP) problem. This ...

In 1988 Kennedy and Chua introduced the dynamical canonical nonlinear programming circuit (NPC) to solve in real time nonlinear programming problems where the objective function and the constraints ...

Finally some numerical examples are given to show the efficiency of the proposed approach to solve approximately constraints nonlinear non-smooth programming problems. nonlinear programming problem; ...

Soon after, the interior point algorithm was able to resolve linear programming problems and other optimal problems such as semi-definite programming problems, high-order conic programming problems, ...

For linear semidefinite programming some advances by dealing with degeneracy and the semidefinite facial reduction are discussed. Two relatively recent areas of application are presented. Finally a ...