3 papers
cs.LG2026
Fourier Learning Machines: Nonharmonic Fourier-Based Neural Networks for Scientific Machine Learning
Mominul Rubel, Adam Meyers, Gabriel Nicolosi
We introduce the Fourier Learning Machine (FLM), a neural network (NN) architecture designed to represent a multidimensional nonharmonic Fourier series. The FLM uses a simple feedf…
cs.LG2026
SynthCharge: An Electric Vehicle Routing Instance Generator with Feasibility Screening to Enable Learning-Based Optimization and Benchmarking
Mertcan Daysalilar, Fuat Uyguroglu, Gabriel Nicolosi +1
The electric vehicle routing problem with time windows (EVRPTW) extends the classical VRPTW by introducing battery capacity constraints and charging station decisions. Existing ben…
cs.LG2026
A Curriculum-Based Deep Reinforcement Learning Framework for the Electric Vehicle Routing Problem
Mertcan Daysalilar, Fuat Uyguroglu, Gabriel Nicolosi +1
The electric vehicle routing problem with time windows (EVRPTW) is a complex optimization problem in sustainable logistics, where routing decisions must minimize total travel dista…