Pareto Multi Objective Optimization. Ngatchou, P., Zarei, A., & El-Sharkawi, A. In Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems, pages 84–91.
Pareto Multi Objective Optimization [link]Paper  doi  abstract   bibtex   
The goal of this chapter is to give fundamental knowledge on solving multi-objective optimization problems. The focus is on the intelligent metaheuristic approaches (evolutionary algorithms or swarm-based techniques). The focus is on techniques for efficient generation of the Pareto frontier. A general formulation of MO optimization is given in this chapter, the Pareto optimality concepts introduced, and solution approaches with examples of MO problems in the power systems field are given
@inproceedings{ngatchouParetoMultiObjective2005,
  title = {Pareto Multi Objective Optimization},
  booktitle = {Proceedings of the 13th {{International Conference}} on, {{Intelligent Systems Application}} to {{Power Systems}}},
  author = {Ngatchou, P. and Zarei, A. and El-Sharkawi, A.},
  date = {2005-11},
  pages = {84--91},
  doi = {10.1109/ISAP.2005.1599245},
  url = {https://doi.org/10.1109/ISAP.2005.1599245},
  abstract = {The goal of this chapter is to give fundamental knowledge on solving multi-objective optimization problems. The focus is on the intelligent metaheuristic approaches (evolutionary algorithms or swarm-based techniques). The focus is on techniques for efficient generation of the Pareto frontier. A general formulation of MO optimization is given in this chapter, the Pareto optimality concepts introduced, and solution approaches with examples of MO problems in the power systems field are given},
  keywords = {~INRMM-MiD:z-JDUTK3GH,aggregated-indices,multi-criteria-decision-analysis,multiplicity,optimisation,pareto-frontier,pareto-ranking}
}
Downloads: 0