کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384170 660841 2012 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Pre-Marshalling Problem: Heuristic solution method and instances generator
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Pre-Marshalling Problem: Heuristic solution method and instances generator
چکیده انگلیسی

The Pre-Marshalling Problem consists in reshuffling containers in a port yard taking into account that a container with high priority cannot be placed below a container with low priority. The objective of the problem is to minimize the number of movements required to arrange all the containers so that further relocations are not necessary. In this work a heuristic solution method to solve the Pre-Marshalling Problem that significantly outperforms other methods from the literature is proposed. Moreover, an instances generator for this problem with which instances with varying degrees of difficulty can be created is developed. In order to obtain instances with degrees of difficulty that range from low difficulty up to high difficulty, two features that consider both the occupancy rate of the bay of containers and the percentage of containers with high priority that are located below containers with low priority are considered. The computational experiments carried out in this work corroborate the good performance of both the heuristic and the instances generator.


► In this work a heuristic solution method to solve the Pre-Marshalling Problem that significantly outperforms other methods from the literature is proposed.
► Moreover, an instances generator for this problem with which instances with varying degrees of difficulty can be created is developed.
► The computational experiments carried out in this work corroborate the good performance of both the heuristic and the instances generator.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 39, Issue 9, July 2012, Pages 8337–8349
نویسندگان
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