Baocun Bai

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



Research Interests: Combinatorial Optimization


Baocun Bai was born in Cangzhou, Hebei Province, China in 1981. Bai received the Ph.D. degree from National University of Defense Technology in 2009. His research interest covers spacecraft mission planning and combinational optimization.

Author Articles
Earth Observation Satellites Scheduling Based on Decomposition Optimization Algorithm

By Feng Yao Jufang Li Baocun Bai Renjie He

DOI:, 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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