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Multi-Objective Optimum Economic: Emission Dispatch Consid Ering the Environmental Aspects

المصدر: مجلة العلوم الإنسانية والتطبيقية
الناشر: الجامعة الأسمرية الإسلامية زليتن - كليتى الآداب والعلوم
المؤلف الرئيسي: Farhat, Ibrahim Ali (Author)
مؤلفين آخرين: El Bkosh, Abd Almajed Omar (Co-Author)
المجلد/العدد: ع28
محكمة: نعم
الدولة: ليبيا
التاريخ الميلادي: 2016
الشهر: يونيو
الصفحات: 21 - 33
رقم MD: 829412
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: HumanIndex
مواضيع:
كلمات المؤلف المفتاحية:
Bacterial Foraging Optimization | Economic-Emission Dispatch | Multiobjective Optimization
رابط المحتوى:
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المستخلص: In this paper, the economic-emission dispatch problem (EED) considering power losses is solved using a modified bacterial foraging algorithm (MBF). To solve this bi-objective economic-emission dispatch problem, the weighted-sum method is utilized. The well known bacterial foraging algorithm (BFA) is one of the evolutionary optimization methods enthused by the foraging behavior of the E. coli bacteria. The primary BFA has been successfully employed to deal with small scale optimization problems. Quite the opposite, poor convergence characteristics have been observed when applied to large-scaled optimization problems with more complicated constrains. Due to the nonlinearity, high dimensionality and complexity of the search region of the EED optimization problem, essential adaptations are suggested to improve the performance of the original BFA. A well-known test system is employed to validate the proposed MBF.

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