A cryptocurrency arbitrage framework implemented with ccxt and cplex. It can be used to monitor multiple exchanges, find a multi-lateral arbitrage path which maximizes rate of return, calculate the optimal trading amount for each pair in the path given flexible constraints, and execute trades with multi-threading implemenation.

A project on using mathematical programming to solve multi-modal transportation cost minimization in goods delivery and supply chain management.

Linear optimization with N-D labeled arrays in Python

A MSc's Dissertation Project which focuses on Vehicle Routing Problem with Time Windows (VRPTW), using both exact method and heuristic approach (General Variable Neighbourhood Search)

Simple framework for modeling optimization problems in Python

A sample project for demonstrating how to solve common optimization problems using Cplex Python API

Dorado observation planning and scheduling simulations. Replaced by https://github.com/m4opt/m4opt

[IEEE TKDE | TITS 2023] "Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling" | "Neural Airport Ground Handling"

Simple Linear Programming with CPLEX

log parser for MIP and LP solvers

Formulations for the robust Resource-Constrained Project Scheduling Problem (RCPSP) using Pyomo modelling.

Factory Planning Optimization Project (2015)

Multi-Mission Multi-Messenger Observation Planning Toolkit

A powerful Python library for operations research. Define, solve, and interact with mathematical models in a standardized manner across different optimization packages.

Implementation of branch and bound algorithm for maximum clique problem with cplex

IBM Decision Optimization Modeling for Python

This a sample code of implementing CPLEX algorithm on capacitated vehicle routing problem with time window constraints (VRPTW)

Maximum Clique Problem solved by Branch and Bound method and Cplex Optimization.

Combinatorial Decision Making and Optimization Course Project.