Jufang Li

Work place: College of Information Systems and Management, National University of Defense Technology, Changsha, China

E-mail: lijufang@nudt.edu.cn


Research Interests: Planning and Scheduling


Jufang Li was born in Linzhou, Henan Province, China in 1978. Li received the Ph.D. degree from National University of Defense Technology in 2004. She is now a associate professor at National University of Defense Technology. Her research interest covers mission planning, scheduling and intelligent optimization algorithms.

Author Articles
Earth Observation Satellites Scheduling Based on Decomposition Optimization Algorithm

By Feng Yao Jufang Li Baocun Bai Renjie He

DOI: https://doi.org/10.5815/ijigsp.2010.01.02, Pub. Date: 8 Nov. 2010

A decomposition-based optimization algorithm was proposed for solving Earth Observation Satellites scheduling problem. The problem was decomposed into task assignment main problem and single satellite scheduling sub-problem. In task assignment phase, the tasks were allocated to the satellites, and each satellite would schedule the task respectively in single satellite scheduling phase. We adopted an adaptive ant colony optimization algorithm to search the optimal task assignment scheme. Adaptive parameter adjusting strategy and pheromone trail smoothing strategy were introduced to balance the exploration and the exploitation of search process. A heuristic algorithm and a very fast simulated annealing algorithm were proposed to solve the single satellite scheduling problem. The task assignment scheme was valued by integrating the observation scheduling result of multiple satellites. The result was responded to the ant colony optimization algorithm, which can guide the search process of ant colony optimization. Computation results showed that the approach was effective to the satellites observation scheduling problem.

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