Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., ...

In this paper, we aim to find ecient solutions of a multi-objective optimization problem over a linear matrix inequality (LMI in short), in which the objective functions are SOS-convex polynomials. We ...

This paper discusses the application of nature inspired optimization technique for nonlinear constrained optimization problems (NCPP). Here the technique of Invasive Weed Optimization Algorithm (IWO) ...

Discrete-time zeroing neural network of o (τ 4) pattern for online solving time-varying nonlinear optimization problem: application to manipulator motion generation.

Those properties will be called strict constraint qualifications in this paper. As a consequence, for each sequential optimality condition, it is natural to ask for its weakest strict associated ...

This paper presents a quantum-inspired tensor network algorithm to solve constrained combinatorial optimization problems and demonstrates the algorithm with a particular problem with numerical results ...