Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

In this paper we test different conjugate gradient (CG) methods for solving largescale unconstrained optimization problems. The methods are divided in two groups: the first group includes five basic ...

This paper presents a numerical comparison between algorithms for unconstrained optimization that take account of sparsity in the second derivative matrix of the objective function. Some of the ...

The final, formatted version of the article will be published soon. Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new ...

Abstract: Driven by the "dual-carbon" goal, the transition to a clean and low-carbon power system is imminent. In order to realize the cooperative optimization of multiple integrated energy systems ...

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...

Abstract: This paper proposes a model predictive control (MPC) method based on genetic algorithm optimization for the problem of multivariable control of boilers. By constructing a dynamic ...