کاربرد الگوریتم رقابت استعماری برای بهینه‌سازی نرخ تردد در سیستم ترابری معدن مس سونگون

ﺑﻬﯿﻨﻪﺳﺎزی ﺳﯿﺴﺘﻢ ﺗﺮاﺑﺮی در ﻋﻤﻠﯿﺎت اﺳﺘﺨﺮاج ﻣﻌﺎدن ﺳﻄﺤﯽ ﺑﻪ دﻟﯿﻞ ﺑﺎﻻ ﺑﻮدن ﻫﺰﯾﻨﻪﻫﺎی ﻣﺮﺑﻮط ﺑﻪ ﺑﺨﺶ ﺑﺎرﮔﯿﺮی و ﺑﺎرﺑﺮی ﮐﻪ ﺣﺪود 60 درﺻﺪ ﻫﺰﯾﻨﻪﻫﺎی ﻋﻤﻠﯿﺎﺗﯽ را در ﺑﺮ ﻣﯽﮔﯿﺮد اﻫﻤﯿﺖ وﯾﮋهای دارد. ﺗﺎﮐﻨﻮن ﺗﺤﻘﯿﻘﺎت زﯾﺎدی در اﯾﻦ ﻣﻮرد اﻧﺠﺎم ﺷﺪه و ﻣﺤﻘﻘﺎن ﺑﺴﯿﺎری روشﻫﺎی ﻣﺘﻌﺪدی را ﺑﺮای اﯾﻦ ﻣﻮﺿﻮع ﺑﻪ ﮐﺎر ﺑﺮدهاﻧﺪ. ﺑﺎ ﭘﮋوﻫﺶﻫﺎی اﻧﺠﺎم ﺷﺪه در اﯾﻦ زﻣﯿﻨﻪ، ﭘﯿ ﺸﺮﻓﺖﻫﺎی زﯾﺎدی در ﺑﻬﯿ ﻨﻪﺳﺎزی ﺳﯿﺴﺘﻢ ﺣﻤﻞ و ﻧﻘﻞ ﻣﻌﺎدن ﺣﺎﺻﻞ ﺷﺪه اﺳﺖ و ﻫﻤﭽﻨﺎن اداﻣﻪ دارد. اﻣﺮوزه اﺳﺘﻔﺎده از روش ﻫﺎی ﻫﻮﺷﻤﻨﺪ در ﺣﻞ ﻣﺴﺎﯾﻞ ﺳﺨﺖ و از ﺟﻤﻠﻪ ﻣﺴﺎﯾﻞ ﻣﻬﻨﺪﺳﯽ ﻣﻌﺪن ﮔﺴﺘﺮش زﯾﺎدی ﯾﺎﻓﺘﻪ و ﻣﻮﻓﻘﯿﺖ ﻫﺎﯾﯽ در ﺣﻞ اﯾﻦ ﮔﻮﻧﻪ ﻣﺴﺎﯾﻞ ﺑﻪ دﺳﺖ آﻣﺪه اﺳﺖ. اﻟﮕﻮرﯾﺘﻢ رﻗﺎﺑﺖ اﺳﺘﻌﻤﺎری ﯾﮑﯽ از اﯾﻦ ﮔﻮﻧﻪ اﻟﮕﻮرﯾﺘﻢﻫﺎﺳﺖ ﮐﻪ ﺑﻪ ﺗﺎزﮔ ﯽ در ﺣﻮزه ﻣﻬﻨﺪﺳﯽ ﻣﻌﺪن ﮐﺎرﺑﺮد ﯾﺎﻓﺘﻪ اﺳﺖ. در ﻣﻘﺎﻟﻪ ﺣﺎﺿﺮ، ﮐﺎرﺑﺮد اﻟﮕﻮرﯾﺘﻢ رﻗﺎﺑﺖ اﺳﺘﻌﻤﺎری در ﺣﻞ ﻣﺴﺎﻟﻪ ﺑﻬﯿﻨﻪﺳﺎزی ﺳﯿﺴﺘﻢ ﺣﻤﻞ و ﻧﻘﻞ ﻣﻌﺎدن روﺑﺎز ﻣﻌﺮﻓﯽ و ﺑﺮای ﻣﻌﺪن ﻣﺲ ﺳﻮﻧﮕﻮن ﭘ ﯿﺎدهﺳﺎزی ﺷﺪه اﺳﺖ. ﺑﺎ ﺑﻪﮐﺎرﮔ ﯿﺮی اﯾﻦ اﻟﮕﻮرﯾﺘﻢ، ﻣﺴﯿﺮﻫﺎی ﻣﺠﺎز ﺑﺮای ﻋﺒﻮر ﮐﺎﻣﯿﻮنﻫﺎ ﺑﻪ ﻋﻨﻮان ورودیﻫﺎی ﻣﺴﺎﻟﻪ ﺗﻌﺮﯾﻒ ﺷﺪه اﺳﺖ و در ﮔﺎمﻫﺎی ﻣﺘﻮاﻟﯽ ﺑﻌﺪی ﺑﻬﺒﻮد ﻣﯽﯾﺎﺑﻨﺪ ﯾﺎ ﺑﻪ ﺑﻬﺒﻮد ﻣﺴﺎﻟﻪ ﮐﻤﮏ ﻣﯽﮐﻨﻨﺪ. ﭘﯿﺎدهﺳﺎزی اﻟﮕﻮرﯾﺘﻢ ﺑﺮای ﺳﯿﺴﺘﻢ ﺗﺮاﺑﺮی ﻣﻌﺪن ﻣﺲ ﺳﻮﻧﮕﻮن ﻣﻨﺠﺮ ﺑﻪ اﻓﺰاﯾﺶ ﺗﻮﻟﯿﺪ از ﺣﺪود 32 ﺑﻪ 37 ﻫﺰار ﺗﻦ در ﺷﺮاﯾ ﻂ ﯾﮑﺴﺎن ﺷﺪ. ﺑﻪ ﻋﻼوه ﺑﺮای اﻋﺘﺒﺎرﺳﻨﺠﯽ ﻣﺪل اراﯾﻪﺷﺪه ، ﻣﺴﺎﻟﻪ ﻣﺰﺑﻮر ﺑﺎ اﻟﮕﻮرﯾﺘﻢ ژﻧﺘﯿﮏ ﻧﯿﺰ ﺣﻞ و ﻧﺘﺎﯾﺞ ﻣﻘﺎﯾﺴﻪ ﺷﺪ. ﻧﺘﺎﯾﺞ ﻧﺸﺎن داد ﻣﻘﺪار ﺗﻮﻟﯿﺪ ﺑﻪ دﺳﺖ آﻣﺪه از ژﻧﺘﯿﮏ ﺣﺪود 35 ﻫﺰار ﺗﻦ ﺑﻮده اﺳﺖ.

application of imperialistic competitive algorithm for optimizing movement rate in songun copper mine transportation system

optimization of haulage system in open pit mines is very important due to its high operating costs. till now a large no. of researches have been conducted to optimize the truck fleet size in an open pit mine in dispatching and non-dispatching modes. these researches have gained many achievements in this regard and still they are going to continue. on the other hand, nowadays, application of artificial intelligence is spreading vastly to optimize systems in the field of (mining) engineering, especially in np-hard problems. one of the new meta-heuristic algorithms in engineering field is imperialistic competition (ic), which is developed primarily for electrical systems. recently, it has found its application in the field of mining systems as well. in this paper, application of ic algorithm for optimization of haulage system in open pit mines is introduced. implementation of the ic algorithm for songon copper mine was validated with comparison of its results with those of genetic algorithm. comparison showed promising results. optimization of the system with ic algorithm improves the mine production from 32 thousand tons as the current situation to 37 thousand tons, while optimization of the system with genetic algorithm improves the mine production to 35 thousand tones.