In the Stochastic Orienteering problem, we are given a metric, where each node also has a job located there with some deterministic reward and a random size. (Think of the jobs as being chores one ...

Analog-to-digital conversion methods abound, but we are going to take a look at a particular approach as shown in Figure 1. Figure 1 An analog-to-digital converter where an analog input signal is ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

Metric spaces form the backbone of modern computational geometry by providing a rigorous framework for measuring distances within abstract sets, while geometric approximation algorithms yield ...

It is a blessing for this troubled country that the semiquincentennial of its struggle for independence is upon it. Indeed, some notable anniversaries have already slipped by: In September 1774, ...

With a little over a year to the big celebration of our 250th anniversary of American independence (see America250-Ohio.org for more info!), I asked you to think with me about the specific wording and ...

This repository contains code used in the paper, "Solving 0–1 Knapsack Problems Using Sine-Cosine Algorithm". The Sine Cosine Algorithm (SCA), developed by Seyedali Mirjalili [1], belongs to the class ...

The algorithm has won. The most powerful social, video, and shopping platforms have all converged on a philosophy of coddling users in automated recommendations. Whether through Spotify’s personalized ...

KNAPSACKer is a universal toolset for solving different types of knapsack (0/1) problems, that is capable of statistical analysis and data visualization.

The optimal operation model of AC/DC distribution network with energy router (ER) is essentially a nonconvex nonlinear programming (NLP) problem. In order to improve the feasibility of solving the ...