The Massachusetts Institute of Technology (MIT) Center for Transportation & Logistics and Mecalux have developed an artificial intelligence-based simulator designed to optimise inventory distribution ...

Ports across the Mediterranean are facing a mounting engineering dilemma as rising sea levels and intensifying storm patterns ...

Abstract: In this paper, a comparative study between Genetic Algorithm and Discrete Event Simulation to solve the flexible jobshop scheduling problem is presented. Two different approaches are used to ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

ABSTRACT: Nuclear quantum effects (NQEs) are essential for accurately modeling systems involving light atoms, particularly hydrogen bonding and proton transfer processes. This study investigates the ...

For the low efficiency and poor generalization ability of path planning algorithm of industrial robots, this work proposes an adaptive field co-sampling algorithm (AFCS). Firstly, the environment ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...

Using data from ten healthy adults, we trained a Gradient Boosting (GB) surrogate model to predict normalized metabolic cost as a function of Peak Magnitude and End ...

The consortium running the European Space Agency's (ESA) Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms developed by UZH ...