Name
Title | ||
|---|---|---|
A genetic algorithm approach for solving the daily photograph selection problem of the SPOT5 satellite |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.cie.2009.11.012 | Computers & Industrial Engineering |
Keywords | Field | DocType |
combinatorial optimization problem,genetic algorithm approach,large solution space,optimal value,multi-criteria objective,earth observation satellite,genome coding,spot5 selection problem,known value,french spot5,genetic algorithms,spot5 satellite,daily photograph selection,moderate size problem,optimal solution,large benchmark instance,multi-criteria constrained optimization,daily photograph selection problem,analysis of variance,earth observation,genetic algorithm,profitability,constrained optimization | Satellite,Mathematical optimization,Combinatorial optimization problem,Investment cost,Engineering,Earth observation satellite,Single objective,Optimization problem,Genetic algorithm | Journal |
Volume | Issue | ISSN |
58 | 3 | Computers & Industrial Engineering |
Citations | PageRank | References |
19 | 0.80 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed A. A. Mansour | 1 | 19 | 0.80 |
| Maged Dessouky | 2 | 479 | 39.53 |