ناصر قربانی
دانشگاه تبریز
[ 1 ] - الگوریتم ژنتیک مبتنی بر کد واقعی با جهش هوشمند برای حل مسائل پخش بار اقتصادی غیرمحدب
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 قابلی...
[ 2 ] - Combined Economic and Emission Dispatch Solution Using Exchange Market Algorithm
This paper proposes the exchange market algorithm (EMA) to solve the combined economic and emission dispatch (CEED) problems in thermal power plants. The EMA is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. Existence of two seeking operators in EMA provides a high ability in exploiting global optimum point. In order to show the capabilities ...
[ 3 ] - Per Unit Coding for Combined Economic Emission Load Dispatch using Smart Algorithms
This paper proposes per unit coding for combined economic emission load dispatch problem. In the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. In the proposed per unit coding, each function is transformed into per unit form based on its own maximum value and has a value from 0 to 1. In this paper, particle sw...
[ 4 ] - Particle Swarm Optimization with Smart Inertia Factor for Combined Heat and Power Economic Dispatch
In this paper particle swarm optimization with smart inertia factor (PSO-SIF) algorithm is proposed to solve combined heat and power economic dispatch (CHPED) problem. The CHPED problem is one of the most important problems in power systems and is a challenging non-convex and non-linear optimization problem. The aim of solving CHPED problem is to determine optimal heat and power of generating u...
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