alns

Adaptive large neighbourhood search (and more!) in Python.

ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.

Adaptive Large Neighborhood Search heuristic (ALNS) algorithm for PDPTW.

Slack Induction by String Removals (SISRs) and Adaptive Large Neighborhood Search (ALNS) for Vehicle Routing Problem with Time Windows (VRPTW). Tested on Solomon Benchmark.

An ALNS framwork for solving EVSP written in Python.

Code for OR Analysis of Complex Systems (Spring 2020).

Solution of Dynamic Vehicle Routing Problem with Time Windows based on ALNS algorithm

Code for the paper "A queueing-based approach for integrated routing and appointment scheduling."

Code for our paper "An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning".

Contains the complimentary algorithms and instances for the Vehicle Routing Problem with Pickups, Deliveries, and Scheduled Linehauls

Electric Vehicle Routing with Time Windows and Charging Stations from the Perspective of Customer Satisfaction

A high-performance C++ algorithmic solver for Heterogeneous Fleet Routing and Dial-a-Ride Problems (DARP) utilizing ALNS, VNS, and Branch-and-Cut.

This project was developed as part of a VRPTW challenge during a hackathon organized by @SchoolofAI-Algiers, where I contributed as both participant and mentor

ALNS-based VRPTW solver with adaptive operator selection and 2-opt local search, evaluated against Solomon benchmark best-known solutions

Adaptive Large Neighbourhood Search

Self-contained ALNS metaheuristic (pure Python stdlib) for synchronised single-truck / two-drone routing (STRPD): adaptive operators, Record-to-Record Travel acceptance, double-bridge escape, end-of-run local search.

Field-service control tower + route optimizer for smart street-lighting maintenance. MILP + in-browser ALNS (matches proven optimum), explainable dispatching, plan-stability re-planning, opportunistic preventive maintenance. OR portfolio project - fictitious data.

Memlükler takımı – TEKNOFEST 2026 Lojistik Anahat Optimizasyonu Gelişmiş Çözüm (Final) Aşaması: XGBoost talep tahmini + ALNS rota optimizasyonu

Code, source data, and Dujiangyan-derived RB assets for the ER-HLNS-PR truck-UAV disaster logistics manuscript.

Metaheuristic optimization algorithms implemented in Julia, GA, SA, TS, LNS, ALNS.