کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1135049 956086 2010 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A genetic algorithm approach for solving the daily photograph selection problem of the SPOT5 satellite
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
A genetic algorithm approach for solving the daily photograph selection problem of the SPOT5 satellite
چکیده انگلیسی

This article addresses the combinatorial optimization problem of managing earth observation satellites (EOSs) such as the French SPOT5, which is concerned with selecting on each day a subset of a set of candidate photographs. The problem has a significant economic importance due to its high initial investment cost that exists in these instruments and its solution difficulty resulting from the large solution space, making it an attractive research area. This article proposes a genetic algorithm (GA) for solving the SPOT5 selection problem using a new genome representation for maximizing not only a single objective as profit but a multi-criteria objective that includes the number of acquired photographs. Test results of our proposed GA show that it finds optimal solutions effectively for moderate size problems and obtains better results for two large benchmark instances coded 1403 and 1504 in the literature. Also, we verify the result that the best known value in the literature for problem coded 1401 is an optimal value.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 58, Issue 3, April 2010, Pages 509–520
نویسندگان
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