Here you can find our codes:
- Weighted Optimization Framework (WOF): Matlab Version (Last Update: 12.10.2018)
Paper: Heiner Zille and Sanaz Mostaghim, Comparison Study of Large-scale Optimisation Techniques on the LSMOP Benchmark Functions, IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Honolulu, Hawaii, November 2017 --> Link
Note: This is the latest version of WOF-SMPSO written in Matlab for the PlatEMO framework. It implements several improvements compared to the original publication. It also includes several transformation functions, grouping mechanisms and other parameters to choose.
- Weighted Optimization Framework (WOF): Java Version (Last Update: 20.07.2017)
Paper: Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim and Yusuke Nojima, A Framework for Large-scale Multi-objective Optimization based on Problem Transformation, IEEE Transactions on Evolutionary Computation, Vol. 22, Issue 2, pp. 260-275, April 2018 --> Link to IEEE Xplore Digital Library
Note: This is the code of original version of WOF. Since its release, several improvements have been made, which are not included in this version. For the best performance please use the latest Matlab-version of the algorithm (see above).
- Transfer Strategies from Single- to Multi-objective Grouping Mechanisms:
Paper: Frederick Sander, Heiner Zille and Sanaz Mostaghim Transfer Strategies from Single- to Multi-objective Grouping Mechanisms, In the Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO), Pages 729-736, Kyoto, July 2018 --> Link
- Open Loop Search for General Video Game Playing
Paper: Diego Perez, Jens Dieskau, Martin Hünermund and Sanaz Mostaghim, Simon Lucas, Open Loop Search for General Video Game Playing, In Proceedings of ACM Genetic and Evolutioanry Computation Conference (GECCO 2015), Pages , July 2015 -> Link
- Energy-Aware PSO:
Paper: Sanaz Mostaghim, Christoph Steup and Fabian Witt, Energy Aware Particle Swarm Optimization as Search Mechanism for Aerial Micro-robots, IEEE Swarm Intelligence Symposium, IEEE SSCI 2016, December 2016
Code: EA-PSO in MATALB
- Visulaization for many-objective optimization
Paper: Andy Pryke, Sanaz Mostaghim, Ali Reza Nazemi, Heatmap Visualisation of Population Based Multi Objective Algorithms, In S. Obayashi et al., Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, Proceedings, pages: 361-375, Springer, LNCS, 4403, 2007
Code: VisPop in R
- Multi-Objective Particle Swarm Optimization
Paper: Sanaz Mostaghim, Jürgen Teich, Strategies for finding good local guides in multi-objective particle swarm optimization, the Proceedings of IEEE Swarm Intelligence Symposium, Indianapolis, USA, April, 2003 -> Link
Code: MO-PSO in c++
- Liquid Swarm: this is an executable file with very easy and user freindly interface to set up different swarms in various relations to each other. More information will be uploaded here.