A classifier-assisted framework for expensive optimization problems: A knowledge-mining approach

Yoel Tenne, Kazuhiro Izui, Shinji Nishiwaki

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

3 اقتباسات (Scopus)

ملخص

Real-world engineering design optimization problems often rely on computationally-expensive simulations to replace laboratory experiments. A common optimization approach is to approximate the expensive simulation with a computationally cheaper model resulting in a model-assisted optimization algorithm. A prevalent issue in such optimization problems is that the simulation may crash for some input vectors, a scenario which increases the optimization difficulty and results in wasted computer resources. While a common approach to handle such vectors is to assign them a penalized fitness and incorporate them in the model training set this can result in severe model deformation and degrade the optimization efficacy. As an alternative we propose a classifier-assisted framework where a classifier is incorporated into the optimization search and biases the optimizer away from vectors predicted to crash to simulator and with no model deformation. Performance analysis shows the proposed framework improves performance with respect to the penalty approach and that it may be possible to 'knowledge-mine' the classifier as a post-optimization stage to gain new insights into the problem being solved.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفLearning and Intelligent Optimization - 5th International Conference, LION 5, Selected Papers
الصفحات161-175
عدد الصفحات15
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2011
منشور خارجيًانعم
الحدث5th International Conference on Learning and Intelligent Optimization, LION 2011 - Rome, إيطاليا
المدة: ١٧ يناير ٢٠١١٢١ يناير ٢٠١١

سلسلة المنشورات

الاسمLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
مستوى الصوت6683 LNCS
رقم المعيار الدولي للدوريات (المطبوع)0302-9743
رقم المعيار الدولي للدوريات (الإلكتروني)1611-3349

!!Conference

!!Conference5th International Conference on Learning and Intelligent Optimization, LION 2011
الدولة/الإقليمإيطاليا
المدينةRome
المدة١٧/٠١/١١٢١/٠١/١١

بصمة

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