A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA
المؤلفون المشاركون
Herrero, J. M.
Pajares, Alberto
Blasco, Xavier
Reynoso-Meza, Gilberto
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-22، 22ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-10-02
دولة النشر
مصر
عدد الصفحات
22
التخصصات الرئيسية
الملخص EN
Traditionally, in a multiobjective optimization problem, the aim is to find the set of optimal solutions, the Pareto front, which provides the decision-maker with a better understanding of the problem.
This results in a more knowledgeable decision.
However, multimodal solutions and nearly optimal solutions are ignored, although their consideration may be useful for the decision-maker.
In particular, there are some of these solutions which we consider specially interesting, namely, the ones that have distinct characteristics from those which dominate them (i.e., the solutions that are not dominated in their neighborhood).
We call these solutions potentially useful solutions.
In this work, a new genetic algorithm called nevMOGA is presented, which provides not only the optimal solutions but also the multimodal and nearly optimal solutions nondominated in their neighborhood.
This means that nevMOGA is able to supply additional and potentially useful solutions for the decision-making stage.
This is its main advantage.
In order to assess its performance, nevMOGA is tested on two benchmarks and compared with two other optimization algorithms (random and exhaustive searches).
Finally, as an example of application, nevMOGA is used in an engineering problem to optimally adjust the parameters of two PI controllers that operate a plant.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Pajares, Alberto& Blasco, Xavier& Herrero, J. M.& Reynoso-Meza, Gilberto. 2018. A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA. Complexity،Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1132993
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Pajares, Alberto…[et al.]. A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA. Complexity No. 2018 (2018), pp.1-22.
https://search.emarefa.net/detail/BIM-1132993
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Pajares, Alberto& Blasco, Xavier& Herrero, J. M.& Reynoso-Meza, Gilberto. A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA. Complexity. 2018. Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1132993
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1132993
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر