{"date_updated":"2024-05-06T16:58:27Z","page":"417-427","intvolume":"       114","language":[{"iso":"eng"}],"publication":"Measurement","title":"A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms","author":[{"last_name":"Mobin","full_name":"Mobin, Mohammadsadegh","first_name":"Mohammadsadegh"},{"first_name":"Seyed Mohsen","last_name":"Mousavi","full_name":"Mousavi, Seyed Mohsen"},{"first_name":"Mohammad","full_name":"Komaki, Mohammad","last_name":"Komaki"},{"first_name":"Madjid","id":"31858","full_name":"Tavana, Madjid","last_name":"Tavana"}],"year":"2018","user_id":"51811","publication_identifier":{"issn":["0263-2241"]},"_id":"54012","status":"public","date_created":"2024-05-06T16:57:34Z","doi":"10.1016/j.measurement.2017.10.009","publication_status":"published","department":[{"_id":"277"}],"citation":{"mla":"Mobin, Mohammadsadegh, et al. “A Hybrid Desirability Function Approach for Tuning Parameters in Evolutionary Optimization Algorithms.” <i>Measurement</i>, vol. 114, Elsevier BV, 2018, pp. 417–27, doi:<a href=\"https://doi.org/10.1016/j.measurement.2017.10.009\">10.1016/j.measurement.2017.10.009</a>.","chicago":"Mobin, Mohammadsadegh, Seyed Mohsen Mousavi, Mohammad Komaki, and Madjid Tavana. “A Hybrid Desirability Function Approach for Tuning Parameters in Evolutionary Optimization Algorithms.” <i>Measurement</i> 114 (2018): 417–27. <a href=\"https://doi.org/10.1016/j.measurement.2017.10.009\">https://doi.org/10.1016/j.measurement.2017.10.009</a>.","apa":"Mobin, M., Mousavi, S. M., Komaki, M., &#38; Tavana, M. (2018). A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms. <i>Measurement</i>, <i>114</i>, 417–427. <a href=\"https://doi.org/10.1016/j.measurement.2017.10.009\">https://doi.org/10.1016/j.measurement.2017.10.009</a>","short":"M. Mobin, S.M. Mousavi, M. Komaki, M. Tavana, Measurement 114 (2018) 417–427.","ama":"Mobin M, Mousavi SM, Komaki M, Tavana M. A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms. <i>Measurement</i>. 2018;114:417-427. doi:<a href=\"https://doi.org/10.1016/j.measurement.2017.10.009\">10.1016/j.measurement.2017.10.009</a>","bibtex":"@article{Mobin_Mousavi_Komaki_Tavana_2018, title={A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms}, volume={114}, DOI={<a href=\"https://doi.org/10.1016/j.measurement.2017.10.009\">10.1016/j.measurement.2017.10.009</a>}, journal={Measurement}, publisher={Elsevier BV}, author={Mobin, Mohammadsadegh and Mousavi, Seyed Mohsen and Komaki, Mohammad and Tavana, Madjid}, year={2018}, pages={417–427} }","ieee":"M. Mobin, S. M. Mousavi, M. Komaki, and M. Tavana, “A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms,” <i>Measurement</i>, vol. 114, pp. 417–427, 2018, doi: <a href=\"https://doi.org/10.1016/j.measurement.2017.10.009\">10.1016/j.measurement.2017.10.009</a>."},"volume":114,"publisher":"Elsevier BV","type":"journal_article"}