The algorithms for solving the remote satellite scheduling problem are less effective usually in single computing environment. This paper designed a framework of ant colony algorithm for remote satellite and ground integration scheduling problem in the parallel environment, and given the detail of key steps in the algorithm. Experiments are show at the end of this paper to prove effective and validation.
With the increased number of earth observation satellites, the process of acquiring high quality solution schedule for multi-satellite, multi-orbit and multi-user is more difficult than before. The multi-objective hierarchical genetic algorithm with preference and dynamic heuristic algorithm are proposed to solve the dynamic scheduling problem of earth observation satellite system. The experimental results performed on some benchmark problems suggest that this proposed approach is effective to the dynamic scheduling system.
This paper studies a job shop scheduling problem on a single machine environment with an objective of minimizing the total weighed earliness and tardiness penalties. Jobs have distinct release dates and distinct due dates. A sequence-dependent setup times exists between two consecutive jobs. Jobs are punished if they are finished either before due dates or after due dates. A chemical reaction optimization method is proposed to solve the problem. An improved optimal timing is applied to fix the start time of each job under given sequence. Experimental results show that the proposed algorithm can solve this problem effectively.
Guided by the application requirements of imaging satellite, this work focuses on the model construction and heuristic rule design to the joint scheduling problem of multi imaging satellites. It analyses the imaging procedure, imaging constraints, inputs and outputs, the basic scheduling flow and characteristics of the joint scheduling problem of multi imaging satellites. The heuristic algorithm was proposed to effectively solve this problem. Finally, a multi imaging satellites scheduling system is developed.
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