Abstract: The Swarm Optimization algorithm, a heuristic grounded in swarm intelligence, has progressively been employed in production scheduling, power and water resource optimization, biomedicine, ...

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

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

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

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Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...

Abstract: Displacements estimated from two ultrasound echo signals acquired before and after applying quasi-static external forces can be utilized to generate strain images for ultrasound elastography ...