کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
474596 699071 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On the abstraction method for the container relocation problem
ترجمه فارسی عنوان
درباره روش انتزاعی برای مشکل انتقال جابجایی
کلمات کلیدی
حمل و نقل؛ مشکل جابجایی کانتینری؛ جستجوی دو طرفه؛ روش انتزاع؛ پایگاه داده های الگو
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی


• This work achieves a reduction of the search space via abstraction method for CRP.
• This work defines and uses pattern database in relation to CRP.
• Searching from both current and goal state results in bidirectional search for CRP.
• Abstraction method is a general framework to improve existing search algorithms.

The container relocation problem or the blocks relocation problem is a classic combinatorial optimisation problem that occurs in day-to-day operations for facilities that use block stacking systems. A typical place where this problem arises is a container terminal where containers can be stacked vertically in order to utilise the scarce resource of yard surface, thus at times resulting in the unproductive reshuffling moves for containers stacked above the target container for retrieval. Due to the problem class being NP-hard, a number of studies on this topic propose heuristic approaches to solve this problem. There are a few exact methods (search-based algorithms or mathematical programming) proposed for this problem but the feasible problem size of such methods is quite restricted, limiting their practical significance. In this paper, we propose a new insight into reducing the search space of this problem by the abstraction method. Our main contribution to the existing literature is two-fold: the reduction in the search space by the abstraction method and the bidirectional search using the pattern database. Our computational results confirm that our approach enables instances of a near-practical size to be solved optimally within a reasonable computation time.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Operations Research - Volume 68, April 2016, Pages 110–122
نویسندگان
, ,