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Improving the Fine-Tuning of Metaheuristics: An Approach Combining Design of Experiments and Racing Algorithms
المؤلفون المشاركون
Senne, Edson Luiz França
Barbosa, Eduardo Batista de Moraes
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-06-07
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Usually, metaheuristic algorithms are adapted to a large set of problems by applying few modifications on parameters for each specific case.
However, this flexibility demands a huge effort to correctly tune such parameters.
Therefore, the tuning of metaheuristics arises as one of the most important challenges in the context of research of these algorithms.
Thus, this paper aims to present a methodology combining Statistical and Artificial Intelligence methods in the fine-tuning of metaheuristics.
The key idea is a heuristic method, called Heuristic Oriented Racing Algorithm (HORA), which explores a search space of parameters looking for candidate configurations close to a promising alternative.
To confirm the validity of this approach, we present a case study for fine-tuning two distinct metaheuristics: Simulated Annealing (SA) and Genetic Algorithm (GA), in order to solve the classical traveling salesman problem.
The results are compared considering the same metaheuristics tuned through a racing method.
Broadly, the proposed approach proved to be effective in terms of the overall time of the tuning process.
Our results reveal that metaheuristics tuned by means of HORA achieve, with much less computational effort, similar results compared to the case when they are tuned by the other fine-tuning approach.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Barbosa, Eduardo Batista de Moraes& Senne, Edson Luiz França. 2017. Improving the Fine-Tuning of Metaheuristics: An Approach Combining Design of Experiments and Racing Algorithms. Journal of Optimization،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1185947
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Barbosa, Eduardo Batista de Moraes& Senne, Edson Luiz França. Improving the Fine-Tuning of Metaheuristics: An Approach Combining Design of Experiments and Racing Algorithms. Journal of Optimization No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1185947
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Barbosa, Eduardo Batista de Moraes& Senne, Edson Luiz França. Improving the Fine-Tuning of Metaheuristics: An Approach Combining Design of Experiments and Racing Algorithms. Journal of Optimization. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1185947
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1185947
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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