Modified ANT colony algorithm for combinational logic circuits design

(2003) Modified ANT colony algorithm for combinational logic circuits design. Masters thesis, King Fahd University of Petroleum and Minerals.

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Arabic Abstract

يقدم الحساب الارتقائي تحول جذري جديداً في تصميم الدوائر الرقمية . هذا التحول الجذري أدى إلى تقليد الكائنات الحية . بدلا من استخدام تصميم من صنع البشر . الطريقة الجديدة تستخدم البحث الاستدلالي لتطوير تصميم عملية . في هذه الرسالة استخدمنا خوارزم مملكة النمل للحصول على تصاميم للدوائر الكهربائية باعتبار الأهداف ا لمتعددة . النتائج التي تحصلنا عليها من الخوارزم قارناها بمثيلاتها من الطرق الارتقائية والتقليدية . المساحة ، الوقت والطاقة المستهلكة استخدمت كمقاييس للمقارنة .

English Abstract

Evolutionary computation presents a new paradigm shift in hardware design and synthesis. According to this paradigm, hardware design is pursued by deriving inspiration from biological organism. Instead of using human made models and techniques, the new methodology employs search heuristics to develop efficient designs. In this thesis, a multiobjective optimization for evolutionary logic design based on Ant Colony optimization algorithm is proposed. The result obtained using the proposed algorithms are compared to those obtained using existing evolutionary techniques as well as conventional techniques. Area, delay, and power consumption are used as performance measures based on which the proposed algorithms and the existing techniques are compared. It is shown that the designed circuits using the proposed algorithms outperform those of the existing techniques.

Item Type: Thesis (Masters)
Subjects: Computer
Department: College of Computing and Mathematics > Computer Engineering
Committee Advisor: Abd-El-Bar, Mostafa H.
Committee Members: Sait, Sadiq M. and Amin, Alaaeldin A. M.
Depositing User: Mr. Admin Admin
Date Deposited: 22 Jun 2008 14:02
Last Modified: 01 Nov 2019 13:59
URI: https://eprints.kfupm.edu.sa/id/eprint/10331