Electronic Reconnaissance Satellites On-Line Scheduling Technique for Area Census
According to the real-time detecting information, this paper studied the electronic reconnaissance satellite(ERS) area census on-line scheduling problem. Based on the radiant points unknown position and working mode, the uncertain factors quantitive description methods of the ERS on-line scheduling problem were proposed. A target working mode and existing probability forecasting technique based on Bayesian decision-making was put forward, and a multiobjective constrained programming model is established, which aimed to optimize the objectives of the information detecting reward and the front interception reward. A multisatellite cooperate area census on-line scheduling multiobjective evolution algorithm(MSCACOS-MOEA) was put forward to improve the pareto optimal solutions, which could prevent from converging too slowly.The simulation instances proved that the technique could effectively deal with the ERS area census on-line scheduling problem and the performance was well.
electromagnetic reconnaissance satellites(ERS) area census on-line scheduling bayesian decision-making multi-objective optimazition MOEA
Huilin Wang Dishan Qiu Wei Huang Jianjun Li
College of Information System and Management.National University of Defense Technology Changsha, China
国际会议
太原
英文
264-269
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）