چکیده مقاله
Over the last decade, evolutionary and meta heuristic algorithms EAs have been extensively used as search and optimization tools in various engineering problems Honey bees mating optimization HBMO algorithm in which the search algorithm is inspired by the process of real honey bees marriage has been recently employed as search and optimization methods to solve some mathematical and water resources problems There have been some uses of HBMO in reservoir operation optimization In this paper, honey bees mating optimization algorithm HBMO is improved and tested with reservoir operation optimization problem, along with the comparison with a well developed GA model To test the performance of the improved algorithm, after conducting some sensitivity analyses, optimization of a single reservoir operation as a constrained real valued problem was investigated It has been demonstrated that improving HBMO algorithm provides more robust and acceptable solutions in reservoir operation optimization problem It was shown that the performance of the improved model is quite comparable with the results of well developed GA The results achieved indicate that there could be a good potential in application of HBMO to multi reservoir operation optimization problems, where the objective function is complex and some other classical techniques are difficult to apply
کلیدواژهها
نویسندگان
Shafii
Department of Civil Eng, Iran University of Science and Technology
Bozorg Haddad
Department of Civil Eng, Iran University of Science and Technology
Afshar
Department of Civil Eng, Iran University of Science and Technology
شیوه ارجاع
Shafii, and Bozorg Haddad, and Afshar, ,1385,Performance of Improved HBMO Algorithm in Optimization of Reservoir Operation,07th International River Engineering Conference,Ahvaz
ارائهشده در
مجموعه مقالات هفتمین سمینار بین المللی مهندسی رودخانه24 بهمن 1385 · اهواز