Stay current on high-quality work at the Operations Research × AI intersection. A research agent performs deep, multi-pass analysis of each paper, scores relevance, and curates what matters, helpin…

GPU solver that minimizes the maximum violation of a large constraint system — a fast way to find a feasible point when constraints are many

LLM-guided evolutionary framework for evolving code components, plug in your own domain, builder, and evaluator.

Official code for "COAgents: Multi-Agent Framework to Learn and Navigate Routing Problems Search Space" (LION 2026). Three learned agents (node selection, move selection, jump) orchestrate local se…

Personal academic website: research, publications, systems, and blog

Provenance-first AI/OR technical-intelligence pipeline: collects multi-source signals, extracts atomic claims, and produces an evidence-linked daily radar

Multi-agent system that turns natural-language optimization problems into executable Pyomo models, via LaTeX formulation and solution cross-checking

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

CVRPLIB BKS Challenge 2026 · multi-start AILS-II with adaptive operator selection and path relinking; 51 new best-known solutions

HybridMind: Collaborative Human-AI Algorithm Design

Dataset for Last-Mile Relief Aid Distribution

Short term open pit production scheduling using Constraint programming

GA algorithm to solve bin packing and production scheduling problems

Benders decomposition with two subproblem | Integer programming

Clustred Vehicle Routing Problem (CluVRP) Simple, Fast and Flexible Solver

Tabu search and Genetic algorithm implementation for container loading problem (3D bin packing)

Predict the stock prices with deep learning | LSTM