Multi Objective Scheduling For Nasa S Future Deep Space

Multi Objective Scheduling For Nasa S Future Deep Space To today’s deep space network (dsn), which typically re lies on a single large antenna to handle each spacecraft con tact. multi objective techniques for schedule optimization have the attractive advantage of explicitly capturing the con straints and preferences of the missions, as well as those based on system level considerations, thus. A multi objective approach to the scheduling problem presented by the future nasa deep space arraybased network (dsan), the communications system that will support missions from high earth orbit to the outer planets, and initial results on an illustrative sample problem are described. we describe a multi objective approach to the scheduling problem presented by the future nasa deep space.

Ppt юааmulti Objective Scheduling For Nasaташs Future Deep Spaceюаб Network Multiobjective scheduling for nasa’s future deep space network array. mark d. johnston. jet propulsion laboratory — california institute of technology. 4800 oak grove dr., pasadena ca 91109 [email protected]. iwpss 2006. 1. overview. jet propulsion laboratory. california institute of technology • the evolution of the nasa deep. A. objectives and constraints for array scheduling. the optimization objectives in this problem are most naturally formulated on a user by user basis. each user's objectives can be viewed as quantifying a “degree of satisfaction” metric, where examples of factors that might contribute are provided in table 1. We describe a multi objective approach to the scheduling problem presented by the future nasa deep space array based network (dsan), the communications system that will support missions from high. Nasa’s deep space network (dsn) is the primary means of communications as well as a significant scientific instrument for dozens of active missions around the world. a rapidly rising num ber of spacecraft and increasingly complex scientific instruments with higher bandwidth requirements have resulted in demand that exceeds the network’s.

Ppt юааmulti Objective Scheduling For Nasaтащs Future Deep Spaceюаб Network We describe a multi objective approach to the scheduling problem presented by the future nasa deep space array based network (dsan), the communications system that will support missions from high. Nasa’s deep space network (dsn) is the primary means of communications as well as a significant scientific instrument for dozens of active missions around the world. a rapidly rising num ber of spacecraft and increasingly complex scientific instruments with higher bandwidth requirements have resulted in demand that exceeds the network’s. Abstract—we describe an evolutionary multi objective optimization approach to the scheduling problem presented by the nasa’s deep space network (dsn). this network is the communications system that supports nasa and other space missions from high earth orbit to the outer planets. today the dsn consists of a small number of large. Nasa’s deep space network (dsn) is the primary resource for communications and navigation for inter planetary space missions, for both nasa and partner agencies. growth in mission demand, both in number of spacecraft and in data return, has led to increased loading levels on the network, and actual demand fre quently exceeds network capacity.