نرم افزار محاسبه تقریبی برای مشکلات حمل و نقل محل سکونت برای واکنش نسبت به بلایای طبیعی
Applications of Parallel Computing for Facility Location- Transportation Problems for Disaster Response
نویسندگان |
این بخش تنها برای اعضا قابل مشاهده است ورودعضویت |
اطلاعات مجله |
thescipub.com |
سال انتشار |
2015 |
فرمت فایل |
PDF |
کد مقاله |
20611 |
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چکیده (انگلیسی):
This study extends the capability and increases the performance
of a traditional Branch and Bound (BB) algorithm to solve Facility
Location-Transportation problems for Disaster Response (FLTDR) using
parallel computing. A Two-Stage Branch and Bound (TBB) algorithm was
developed to support two parallel computing approaches. This algorithm
divides problems into two small sub-problems, which are a facility location
sub-problem and a transportation sub-problem. All possible numbers of
distribution centers are determined. All possible locations relating to any
number of distribution centers are explicitly explored. The transportation
sub-problem corresponding to any selected location is then solved. Two
parallel approaches for the TBB algorithm (PTBB) differ in partitioning the
list of sub-problems. The first approach (PTBB1) solves both sub-problems
in parallel. The other (PTBB2) explores the locations in sequence and
solves only the transportation sub-problems in parallel. The numerical
experiments were conducted on various sizes of generated problems. The
quality of the solution and the computing time of both approaches were
compared with a BB algorithm with premature termination by time. The
experimental experiences showed that both PTBB1 and PTBB2 are more
efficient and effective than a BB algorithm. However, the PTBB1 should be
suggested for the FLTDR because of the least computational time usage.
کلمات کلیدی مقاله (فارسی):
روش شعبه و مجهز به تشکیلات ، واکنش به بلایای طبیعی ، تسهیلات محل سکونت ، محاسبات موازی ، حمل و نقل
کلمات کلیدی مقاله (انگلیسی):
Keywords: Branch-and-Bound Algorithms, Disaster Response, Facility Location, Parallel Computing, Transportation
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