Welcome to iMOPSE

iMOPSE (Interactive Multi-Objective Project Scheduling Environment) is library designed to help researchers and practitioners in the field of multi-objective project scheduling.

Our platform provides a comprehensive set of tools and resources for solving complex project scheduling problems using advanced algorithms and techniques.

iMOPSE GitHub Code: https://github.com/imopse/iMOPSE.

 

OLD IMOPSE homepage can be found here.

 

Features

Advanced Algorithms

Leverage state-of-the-art algorithms for multi-objective and single-objective optimization with easy configurations.
NP-Hard Problems and Instances

Explore NP-hard problems with comprehensive instance sets.
Flexible Encoding and Specialized Operators

Utilize flexible encoding and specialized operators for various problem and encoding types.
Additional Tools

Access additional tools for analysis and visualization.
Extensive Customization

Offers numerous customization options for diverse optimization methods and scenarios.
User-Friendly Interface

Features an intuitive interface with straightforward input parameters and configuration files.
Tutorials and Examples

Watch instructional videos and explore example implementations.
Downloadable Resources

Download datasets and other useful resources.

Latest News

iMOPSE library for benchmarking Multi-Skill Resource-Constrained Project Scheduling Problem
Last update [1.06.2024]

K.Gmyrek, M.Antkiewicz, P.B.Myszkowski and J.L.Calvo-Rolle

Accepted to: PATAT'24 Conference
Gene-level adaptation in Balanced Non-Dominated Tournament Genetic Algorithm (aB-NTGA) applied to versatile Multi-Stage Weapon-Target Assignment Problem
Last update [1.06.2024]

M.Antkiewicz, P.B.Myszkowski, K.Gmyrek

Accepted to: GECCO'24 Conference
Efficiency of Specialized Genetic Operators in Non-Dominated Tournament Genetic Algorithm (NTGA2) applied to Multi-Objective Multi-Skill Resource Constrained Project Scheduling Problem
Last update [24.08.2024]

M.Antkiewicz, P.B.Myszkowski, K.Gmyrek and J.L.Calvo-Rolle.

Accepted and nominated to best student paper: ICCCI'24 Conference
Balancing Pareto Front exploration of Non-dominated Tournament Genetic Algorithm (B-NTGA) in solving multi-objective NP-hard problems with constraints
Last update [1.05.2024]

Antkiewicz M., Myszkowski P.B

accepted to Information Sciences Journal
iMOPSE: a Comprehensive Open Source Library for single- and multi-objective Metaheuristic Optimization
Last update [01.06.2024]

K.Gmyrek, M.Antkiewicz, P.B.Myszkowski

Accepted to: PPSN'24 conference