About

jMetalPy is being developed by Antonio J. Nebro, full professor at the University of Málaga.

Cite us

@article{BENITEZHIDALGO2019100598,
   title = "jMetalPy: A Python framework for multi-objective optimization with metaheuristics",
   journal = "Swarm and Evolutionary Computation",
   pages = "100598",
   year = "2019",
   issn = "2210-6502",
   doi = "https://doi.org/10.1016/j.swevo.2019.100598",
   url = "http://www.sciencedirect.com/science/article/pii/S2210650219301397",
   author = "Antonio Benítez-Hidalgo and Antonio J. Nebro and José García-Nieto and Izaskun Oregi and Javier Del Ser",
   keywords = "Multi-objective optimization, Metaheuristics, Software framework, Python, Statistical analysis, Visualization",
}

References

1. J.J. Durillo, A.J. Nebro jMetal: a Java Framework for Multi-Objective Optimization. Advances in Engineering Software 42 (2011) 760-771.

2. A.J. Nebro, J.J. Durillo, M. Vergne Redesigning the jMetal Multi-Objective Optimization Framework. GECCO (Companion) 2015, pp: 1093-1100. July 2015.

3. Nebro A.J. et al. (2018) Extending the Speed-Constrained Multi-objective PSO (SMPSO) with Reference Point Based Preference Articulation. In: Auger A., Fonseca C., Lourenço N., Machado P., Paquete L., Whitley D. (eds) Parallel Problem Solving from Nature – PPSN XV. PPSN 2018. Lecture Notes in Computer Science, vol 11101. Springer, Cham