MOOPPS is a computer system, designed to solve scheduling problem like machine scheduling, project scheduling, etc. It combines an interactive schedule generator with artificial intelligence algorithms like A*, genetic algorithms, local search heuristics and others. The integration of preferences of the decision maker in the construction of optimal solutions is supported by a decision support module.
Besides the optimization of the problem, the visualization and explanation of the implemented techniques is one of the main ideas of MOOPPS. Due to the fact, that there exists a huge variety of scheduling problem with the corresponding, differing objectives, the user should be able to „look behind“ the algorithmic approaches and modify them in a straight-forward manner.
After successfully competing in the finals in Ronneby, Sweden, the MOOPPS software has been awarded the European Academic Software Award 2002.
Related key publications
Martin Josef Geiger (2011):
Decision Support for Multi-Objective Flow Shop Scheduling by the Pareto Iterated Local Search Methodology.
Computers & Industrial Engineering, Volume 61, Issue 3, October 2011, Pages 805–812, ISSN 0360-8352.
Martin Josef Geiger (2007):
On operators and search space topology in multi-objective flow shop scheduling.
European Journal of Operational Research, Volume 181, Issue 1, August 2007, Pages 195–206, ISSN 0377-2217.
Letzte Änderung: 25. November 2017