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, November, 2005. 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.},
year = {2005},
month = nov,
pages = {84--91},
doi = {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},
lccn = {INRMM-MiD:z-JDUTK3GH}
}
Downloads: 0
{"_id":"3mPd7fKoMNhTyqh6c","bibbaseid":"ngatchou-zarei-elsharkawi-paretomultiobjectiveoptimization-2005","downloads":0,"creationDate":"2016-04-20T19:53:35.638Z","title":"Pareto Multi Objective Optimization","author_short":["Ngatchou, P.","Zarei, A.","El-Sharkawi, A."],"year":2005,"bibtype":"inproceedings","biburl":"https://sharefast.me/php/download.php?id=zOUKvA&token=29","bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"Pareto Multi Objective Optimization","booktitle":"Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems","author":[{"propositions":[],"lastnames":["Ngatchou"],"firstnames":["P."],"suffixes":[]},{"propositions":[],"lastnames":["Zarei"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["El-Sharkawi"],"firstnames":["A."],"suffixes":[]}],"year":"2005","month":"November","pages":"84–91","doi":"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","lccn":"INRMM-MiD:z-JDUTK3GH","bibtex":"@inproceedings{ngatchouParetoMultiObjective2005,\n title = {Pareto Multi Objective Optimization},\n booktitle = {Proceedings of the 13th {{International Conference}} on, {{Intelligent Systems Application}} to {{Power Systems}}},\n author = {Ngatchou, P. and Zarei, A. and {El-Sharkawi}, A.},\n year = {2005},\n month = nov,\n pages = {84--91},\n doi = {10.1109/ISAP.2005.1599245},\n 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},\n keywords = {~INRMM-MiD:z-JDUTK3GH,aggregated-indices,multi-criteria-decision-analysis,multiplicity,optimisation,pareto-frontier,pareto-ranking},\n lccn = {INRMM-MiD:z-JDUTK3GH}\n}\n\n","author_short":["Ngatchou, P.","Zarei, A.","El-Sharkawi, A."],"key":"ngatchouParetoMultiObjective2005","id":"ngatchouParetoMultiObjective2005","bibbaseid":"ngatchou-zarei-elsharkawi-paretomultiobjectiveoptimization-2005","role":"author","urls":{},"keyword":["~INRMM-MiD:z-JDUTK3GH","aggregated-indices","multi-criteria-decision-analysis","multiplicity","optimisation","pareto-frontier","pareto-ranking"],"downloads":0},"search_terms":["pareto","multi","objective","optimization","ngatchou","zarei","el-sharkawi"],"keywords":["~inrmm-mid:z-jdutk3gh","aggregated-indices","multi-criteria-decision-analysis","multiplicity","optimisation","pareto-frontier","pareto-ranking"],"authorIDs":[],"dataSources":["5S2zj2hKW8TWTkuMq"]}