The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...

Abstract: To tackle constrained multi-objective optimization problems (CMOPs) common in engineering, a K-meams based co-evolutionary algorithm is proposed, employing two populations guided by ...

usage: run_ckm.py [-h] [--ofile OFILE] [--n_rep N_REP] [--m_iter M_ITER] [--tol TOL] dfile cfile k Run COP-Kmeans algorithm positional arguments: dfile data file cfile constraint file k number of ...

Abstract: In a multi-source localization system, direction of arrival (DOA) estimation of angles always suffers from errors due to noise interference, sensor position inaccuracies, and other factors.

This study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Late last year, Valerie Peter, a twenty-three-year-old student in Manchester, England, realized that she had an online-shopping problem. It was more about what she was buying than how much. A fashion ...

Sirona Medical, a company developing an “operating system” for digital radiology, has acquired Nines — a company that has developed FDA-cleared analysis and triage algorithms. This acquisition comes ...

In representative democracies, political representatives are usually selected by election. However, over the past 35 years, an alternative selection method has been gaining traction among political ...

Yash is an aspiring computer science student who loves to build things and write about all things tech. In his free time, he likes to play Squash, read a copy of the latest Murakami, and hunt dragons ...