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Integrated scheduling problem for earth observation satellites based on three modeling frameworks: an adaptive bi-objective memetic algorithm

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Abstract

With the number of on-orbit earth observation satellites (EOSs) increases, satellite image data downlink scheduling problem is becoming the bottleneck for restricting EOSs to capture more image data. Therefore, Integrated scheduling problem for earth observation satellites is imperative, which optimizes data acquisition and data transmission simultaneously. In this paper, three different modelling frameworks, SSF, CSF and CISF, are investigated to formulate the ISPFEOS as a bi-objective optimization model along with an adaptive bi-objective memetic algorithm (ALNS + NSGA-II), which integrates the combined power of an adaptive large neighborhood search algorithm (ALNS) and a nondominated sorting genetic algorithm II (NSGA-II). In addition, two types of operators, “Destroy” operators and “Repair” operators, are designed to improve the ALNS + NSGA-II. Results of extensive computational experiments are presented which disclose that the CISF model produced superior outcomes.

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Notes

  1. Actually speaking, this attribute should be defined in the ground station. But, we define it as an attribute of EOS for convince.

  2. A ground target with several VTWs, belongs to one EOS or several EOSs, will be clone as several ground targets with the same target identifier but different VTWs, different window identifier and EOSs.

  3. In the first iteration, all operators will be used in the equal possibility, then they will be chosen by the roulette wheel mechanism.

  4. Their experiments have shown that such a TS implementation performs poorly on DRPP, so we do not consider TS as a compared algorithm.

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Acknowledgements

We are thankful to the reviewers and the editor for helpful comments which improved the presentation of our paper. We also would like to appreciate all the researchers and their studies we cited. This work was completed when Zhongxiang Chang visited at the Simon Fraser University, Canada under the CSC scholarship program of the Peoples Republic of China.

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Authors and Affiliations

  1. School of Business Administration, Hunan University, Changsha, 410082, China

    Zhongxiang Chang & Zhongbao Zhou

  2. Institute of Data Science and Decision Optimization, Hunan University, Changsha, 410082, China

    Zhongxiang Chang & Zhongbao Zhou

  3. Department of Mathematics, Simon Fraser University, Surrey, BC, V3T 0A3, Canada

    Zhongxiang Chang

  4. School of System Engineering, National University of Defense Technology, Changsha, 410073, China

    Lining Xing & Feng Yao

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Chang, Z., Zhou, Z., Xing, L. et al. Integrated scheduling problem for earth observation satellites based on three modeling frameworks: an adaptive bi-objective memetic algorithm. Memetic Comp. 13, 203–226 (2021). https://doi.org/10.1007/s12293-021-00333-w

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