Adaptive large neighbourhood search (and more!) in Python.
Solve production 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)
Python parser for PSPLIB files (for resource constrained project scheduling problems)
Project scheduling instance parser.
Bees Algorithm Resource_Constrained Project Scheduling Problem (BARCPSP)
A heuristic framework for resource-constrained project scheduling problems.
implementation of RCPSP in C++ by using concert lib by IBM
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
Project scheduling optimization with financial constraints and fuzzy uncertainty. Multi-mode activities, loans, resource limits. Python/Pyomo.
A SAT-based C/C++ solver for the Resource-Constrained Project Scheduling Problem with General Precedence Relations (RCPSP-GPR)
C/C++ solver for the Resource-Constrained Project Scheduling Problem, using Talbot’s ILP formulation and IBM CPLEX (discontinued, shared to inspire open reimplementations)
The implementation of Learning Heuristics via Genetic Programming for Multi-mode Resource-constrained Project Scheduling in IEEE CEC 2024
Application Lifecycle Management simulations
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
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