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A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization
المؤلفون المشاركون
المصدر
Applied Computational Intelligence and Soft Computing
العدد
المجلد 2011، العدد 2011 (31 ديسمبر/كانون الأول 2011)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2011-12-20
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
This paper demonstrates an attempt to incorporate a simple and generic constraint handling technique to the Probability Collectives (PC) approach for solving constrained optimization problems.
The approach of PC optimizes any complex system by decomposing it into smaller subsystems and further treats them in a distributed and decentralized way.
These subsystems can be viewed as a Multi-Agent System with rational and self-interested agents optimizing their local goals.
However, as there is no inherent constraint handling capability in the PC approach, a real challenge is to take into account constraints and at the same time make the agents work collectively avoiding the tragedy of commons to optimize the global/system objective.
At the core of the PC optimization methodology are the concepts of Deterministic Annealing in Statistical Physics, Game Theory and Nash Equilibrium.
Moreover, a rule-based procedure is incorporated to handle solutions based on the number of constraints violated and drive the convergence towards feasibility.
Two specially developed cases of the Circle Packing Problem with known solutions are solved and the true optimum results are obtained at reasonable computational costs.
The proposed algorithm is shown to be sufficiently robust, and strengths and weaknesses of the methodology are also discussed.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kulkarni, Anand J.& Tai, K.. 2011. A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization. Applied Computational Intelligence and Soft Computing،Vol. 2011, no. 2011, pp.1-19.
https://search.emarefa.net/detail/BIM-513172
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kulkarni, Anand J.& Tai, K.. A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization. Applied Computational Intelligence and Soft Computing No. 2011 (2011), pp.1-19.
https://search.emarefa.net/detail/BIM-513172
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kulkarni, Anand J.& Tai, K.. A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization. Applied Computational Intelligence and Soft Computing. 2011. Vol. 2011, no. 2011, pp.1-19.
https://search.emarefa.net/detail/BIM-513172
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-513172
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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