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الگوریتم ژنتیک مبتنی بر کد واقعی با جهش هوشمند برای حل مسائل پخش بار اقتصادی غیرمحدب | ||
هوش محاسباتی در مهندسی برق | ||
مقاله 3، دوره 7، شماره 1 - شماره پیاپی 22، خرداد 1395، صفحه 13-22 اصل مقاله (457.96 K) | ||
شناسه دیجیتال (DOI): 10.22108/isee.2016.20712 | ||
نویسندگان | ||
ناصر قربانی؛ ابراهیم بابائی* | ||
دانشگاه تبریز | ||
چکیده | ||
در این مقاله، یک روش جدید برای حل مسائل پخش بار اقتصادی با استفاده از الگوریتم ژنتیک مبتنی بر کدهای واقعی با جهش هوشمند پیشنهاد می شود. در روش پیشنهادی کنترل لازم بر روی مقادیر مجموع کروموزوم ها صورت میگیرد در نتیجه نیازی به استفاده از هزینه جریمه در حل مسئله پخش بار اقتصادی نخواهد بود. این روش بر روی الگوریتم ژنتیک کلاسیک جهت حل مسائل پخش بار اقتصادی غیر محدب پیاده شده است .روش پیشنهادی قابلیت تعمیم و پیاده سازی بر روی انواع مسایل بهینهسازی را دارد. روش پیشنهادی ضمن کاهش محدوده جستجو، تنها در محدوده منطقی و قابل قبول شروع به اکتشاف هزینه بهینه مینماید. برای نشان دادن کارایی و عملکرد روش پیشنهادی، حل مسئله پخش بار اقتصادی با انواع قیودها در سیستمهای 6 ژنراتوره، 15 ژنراتوره و 40 ژنراتوره با استفاده از روش پیشنهادی صورت گرفته است. نتایج کار با نتایج سایر الگوریتمهای پیشرفته تکنیکی مقایسه شده است که نشان دهنده برتری روش پیشنهادی نسبت به سایر روشها میباشد. | ||
کلیدواژهها | ||
پخش بار اقتصادی؛ بهینهسازی غیرمحدب؛ ضریب جریمه؛ جهش هوشمند | ||
مراجع | ||
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