Optimization modeling and algorithms are key components to problem-solving across various fields of research, from operations research and mathematics to computer science and engineering.

Additionally, the book also covers optimization algorithms for data analysis. It contains typical examples of nature-inspired algorithms and they have been useful to resolve several actual problems.

Achieving Fairness in an Optimization Model, by Özgün Elçi, John Hooker, and Peter Zhang, challenges how people typically think about mathematical decision-making tools. Published by Springer Nature ...

Computer programmers have developed a new 'cutting-plane' algorithm, a general-purpose algorithm for solving optimization problems. The algorithm improves on the running time of its most efficient ...

Moreover, nonlinear optimization can be computationally expensive in terms of time and memory, so you must be careful when matching an algorithm to a problem. All optimization techniques in PROC ...

They dubbed their algorithm “quantum approximate optimization algorithm”, or simply QAOA. “It was the first time that anyone had given a quantum algorithm that gave an approximation better than a ...

Using IBM's Qiskit optimization module, which was released last year to assist developers in building quantum optimization algorithms, the team tested various quantum algorithms labeled with ...

Deciphering algorithms used by ants and the Internet Date: March 1, 2022 Source: Cold Spring Harbor Laboratory Summary: Scientists found that ants and other natural systems use optimization ...