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

Solve scheduling problems with constraint programming in Python.

MAP-Elites Hyper-Heuristic based algorithm for generating schedules for the Resource Constrained Project Scheduling Problem

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

Data sets for the resource-constrained project scheduling problem (RCPSP)

Bees Algorithm Resource_Constrained Project Scheduling Problem (BARCPSP)

Python parser for PSPLIB files (for resource constrained project scheduling problems)

A heuristic framework for resource-constrained project scheduling problems.

implementation of RCPSP in C++ by using concert lib by IBM

Project scheduling instance parser.

PMRobo is a cloud-deployable, server-mode, parallel project scheduling engine implemented in Go, leveraging stochastic local search (SLS) algorithms to compute time-optimal schedules under resource and precedence constraints, communicating via REST/XML APIs.

A python based matter allocation problem

C++ implementation of Genetic algorithm for RCPSP.

A SAT-based C/C++ solver for the Resource-Constrained Project Scheduling Problem with General Precedence Relations (RCPSP-GPR)

Application Lifecycle Management simulations

C/C++ solver for the Resource-Constrained Project Scheduling Problem, using Talbot’s ILP formulation and IBM CPLEX (discontinued, shared to inspire open reimplementations)

A Resource-Constrained Project Scheduling Agent (RCPSA) based on GNN, e-greedy DQN, and model-based planning

Project scheduling optimization with financial constraints and fuzzy uncertainty. Multi-mode activities, loans, resource limits. Python/Pyomo.

Multi-project Scheduling Problem with Limited Preemption and Ordinary Feeding Precedence Relations. This project was led with collaboration with an industrial partner working on customized cleanroom manufacturing with industry 4.0 standards and the fruit of this work has been published to conference article in Springer