کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
482642 1446144 2009 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On a parallel genetic–tabu search based algorithm for solving the graph colouring problem
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
On a parallel genetic–tabu search based algorithm for solving the graph colouring problem
چکیده انگلیسی

In this paper, we are interested in a particular combinatorial optimisation problem (COP), namely the graph colouring problem (GCP). To solve the GCP, we present a parallel approach adopting an efficient strategy. A brief survey on known methods for solving the GCP enables us to justify our approach which is based on a hybrid method, starting from a set of solutions initialized by the so-called RLF colouring method and combining both a genetic algorithm and the tabu search. A parallelising strategy is then applied. The performances of our method were evaluated through a series of experimentations achieved on an IBM SP2 multiprocessor. The processed graphs were chosen from two benchmark sets. The first, taken from the Internet, involves graphs whose chromatic numbers are known and the second involves random generated graphs. The analysis of the results proves the interest of our approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 197, Issue 3, 16 September 2009, Pages 1192–1201
نویسندگان
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