Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

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 ...

Abstract: This article points out the seriousness and urgency of urban traffic congestion, and the shortcomings of existing research in solving this problem. In order to make up for these shortcomings ...

SCE-UA is a lightweight Python package implementing the Shuffled Complex Evolution (SCE-UA) algorithm for global optimization. Designed primarily for hydrological model calibration, it leverages NumPy ...

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 ...

The best CRM article on Page 1 might lose to a single paragraph buried on Page 3. That’s how AI search works now, and it’s why traditional SEO strategies are failing businesses that should be winning.

Abstract: Complex systems, due to their intrinsic nonlinearity, strong coupling and multi-objective characteristics, make mathematical modeling and solving an important challenge in theoretical ...

In order to enhance the inertia situational awareness and stability of the power system in the context of the reduction of power system inertia and the challenge of frequency stability due to the high ...

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 ...