بهبود الگوریتم اثر نیلوفر آبی مبتنی بر سیستم استنتاج فازی
الموضوعات : مجله فناوری اطلاعات در طراحی مهندسی
الهام دلیری نیا
1
,
مهرداد جلالی
2
,
مهدی یعقوبی
3
,
حمید طباطبایی
4
1 - دانشگاه ازاد اسلامی واحد مشهد
2 - گروه کامپیوتر دانشگاه ازاد اسلامی واحد مشهد
3 - Computer Engineering Department, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
4 - Department of Computer Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran
الکلمات المفتاحية: الگوریتم اثر نیلوفر آبی, بهینه سازی, سیستم استنتاج فازی, الگوریتم سنجاقک, الگوریتم تکاملی,
ملخص المقالة :
الگوریتم اثر نیلوفر آبی در سال 2024 ارائه شده است و برگرفته شده از گرده افشانی و حرکت بروی برگ‌های گل نیلوفر آبی می‌باشد. در این الگوریتم از مفاهیم هوش جمعی ایستا و پویا در قالب حرکت سنجاقک‌ها استفاده شده که قدرت فرایند اکتشافی را در الگوریتم افزایش داده و همچنین قدرت استخراج با گرده افشانی محلی و حرکت آب بروی برگ‌های گل نیلوفر آبی در نظر گرفته شده است. اما در این الگوریتم مکانیسم دقیقی برای کنترل پارامترهای مهم در فرآیند استخراج و اکتشاف در نظر گرفته نشده است و حرکات سنجاقک‌ها در همه شرایط بصورت تصادفی تعریف می‌شود و بدین خاطر، دقت و سرعت همگرایی این الگوریتم بهینه سازی، کاهش می‌یابد. در این مقاله یک سیستم استنتاج فازی در حرکت سنجاقک‌ها ارائه شده تا دقت و سرعت همگرایی این الگوریتم با کنترل شعاع همسایگی، حرکت همترازی و انسجام افزایش یابد. نتایج بدست آمده الگوریتم پایه گل نیلوفر آبی در مقایسه با الگوریتم پیشنهادی بروی 12 تابعتست در ابعاد بالا (50 بعد)، نشان داد که روش فازی الگوریتم گل نیلوفر آبی دارای بیش از 49 درصد بهبود در دقت همگرایی و بیش از 9 درصد بهبود در سرعت همگرایی است.
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