ارائه يک نسخه جديد از الگوريتم مورچگان باينری به منظور حل مسأله انتخاب ويژگی
الموضوعات :
شيما کاشف
1
(دانشگاه شهید باهنر کرمان)
حسین نظام‌آبادی‌پور
2
(دانشگاه شهید باهنر کرمان)
الکلمات المفتاحية: انتخاب ويژگي الگوريتم مورچگان باينري طبقه‌بندي کاهش بعد ويژگي,
ملخص المقالة :
استفاده از الگوریتم‌های ابتکاری یک انتخاب مناسب برای حل مسایل بهینه‌سازی است. در اين مقاله نسخه بهبوديافته‌اي از الگوريتم بهينه‌ساز مورچگان باينري براي حل مسأله انتخاب ويژگي ارائه شده است. نسخه پيشنهادي خصوصيات الگوريتم جمعيت مورچه گسسته و الگوريتم مورچه باينري را به صورت توأمان در خود دارد. کارايي روش پيشنهادي روي 12 پايگاه داده استاندارد در موضوع طبقه‌بندي بررسي و نتايج با چند الگوريتم مطرح در اين زمينه شامل بهينه‌ساز جمعيت مورچگان گسسته و باينري مقايسه شده است. نتايج بيانگر کارايي مناسب الگوريتم پيشنهادي است.
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