Abstract: An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely used to solve flow-shop scheduling problems (FSPs), an important branch of production scheduling ...

COMP 272 or an equivalent data-structures course. Knowledge and skills in Java, C/C++, or Python programming. Knowledge of high school mathematics (MATH 30 level) is assumed. Course start date: If you ...

After a striking surge in stand-alone home prices during the pandemic when house prices doubled the gains recorded by apartments, the gap in favour of houses has widened again. Many forecasters had ...

Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...

This project aims to reproduce the results of the paper titled "Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints," published in ICML, 2022. The main goal of the ...

Abstract: Space research is of great significance to increasingly decentralized and distributed space systems, and path planning in space systems has become a research hotspot for maintaining their ...

1 College of Mathematics and Statistics, Sichuan University of Science & Engineering, Zigong, China. 2 Sichuan Province University Key Laboratory of Bridge Non-destruction Detecting and Engineering ...

To solve the low efficiency of simple greedy algorithms, [22] in 2009 proposed a degree discount heuristics to improve influence spread, by considering the degree discount of a candidate node caused ...