ارائه روشی هوشمند به منظور طراحی و بهینه سازی مقایسه گرهای دو دنباله
محورهای موضوعی : مهندسی برق و کامپیوتر
صادق محمدی اسفهرود
1
(دانشگاه بیرجند)
سیدحمید ظهیری
2
(دانشگاه بیرجند)
چکیده مقاله :
بهبود عملکرد مبدل آنالوگ به دیجیتال از جنبه‌های متفاوتی نظیر بهبود معماری کلی مبدل، بهبود معماری بلوک‌های سازنده و یا بهبود طراحی بلوک‌ها بررسی می‌شود. بلوک مقایسه‌گر به عنوان یک جزء اساسی در مبدل‌های داده نقش بسیار مؤثری در عملکرد یک مبدل آنالوگ به دیجیتال دارد و از این رو توجه محققان را به خود جلب کرده است. چالش اصلی در این راستا، وجود اهداف طراحی متناقض و محدودیت‌ها و الزامات مداری پیچیده‌ای است که طراحی بهینه این بلوک را بیش از پیش سخت و دشوار می‌کند. به همین سبب رویکرد جدید طراحان استفاده از روش‌های ابتکاری است که به صورت گسترده در پژوهش‌های جدید به چشم می‌خورد. در میان روش‌های نوظهور ابتکاری، الگوریتم بهینه‌سازی سیستم صفحات شیب‌دار (IPO) روشی نسبتاً جدید و الهام‌گرفته از حرکت دینامیکی اجسام بر روی صفحات شیب‌دار بدون اصطکاک می‌باشد. اما علی‌رغم توانایی این روش در مرور و کاوش فضای جستجو، مدل استاندارد آن دارای روابطی پیچیده و توأم با پارامترهای ساختاری متعددی است که غالباً کاربر را در انتخاب مقادیر مناسب برای آنها دچار تردید و سردرگمی می‌کند. در این مقاله ابتدا با ساده‌سازی مؤثر IPO یک روش ابتکاری با نام SIPO پیشنهاد شده و کارایی آن در بهینه‌سازی 10 تابع آزمون استاندارد مورد سنجش قرار گرفته است. در ادامه به منظور طراحی و بهینه‌سازی، مقایسه‌گرهای دودنباله نسخه چندهدفه SIPO (با نام MOSIPO) ارائه و عملکرد آن در طراحی این نوع از مقایسه‌گرها بررسی و با روش‌های هوشمند چندهدفه متداول و قدرتمند دیگر مقایسه شده است. نتایج حاصل‌شده به وضوح برتری SIPO و MOSIPO را نسبت به سایر روش‌ها نشان می‌دهد.
The performance of an Analog/Digital (A/D) converter, various aspects like general architecture of the converter, architecture of the building blocks or design of the blocks can be improved. The comparator block is a fundamental block in data converters. Due to contradicting design purposes, circuit constraints and necessities, design of comparators and obtaining best circuit performance are complicated and challenging. Such challenges in circuit design necessitate presenting approaches which not only satisfy all the objectives but also, they are cost effective in terms of time and cost. One of the approaches which has recently attracted attentions is the heuristic algorithms based intelligent Methods. Inclined Planes system Optimization algorithm (IPO) is a novel heuristic algorithm inspired by dynamic movement of the objects on frictionless inclined planes. But despite its remarkable ability for exploration and exploitation of the search space, its standard model has complex relationships with many structural parameters that often confuse the user in choosing the effective values for them. In this paper, IPO algorithm is simplified to present a heuristic algorithm (called SIPO) and its efficiency in optimization of 10 standard benchmarks has been evaluated. Then, a multi-objective version of the proposed algorithm (called MOSIPO) for design and optimization of double tail comparator is presented and its efficiency in optimization of double tail comparator has been evaluated and compared with popular multi-objective intelligent methods. The results clearly demonstrate the improved performance and superiority of SIPO and MOSIPO compared to the other methods.
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