Evolutionary principles applied to mission planning problems

2006 ◽  
Vol 97 (2) ◽  
pp. 73-86 ◽  
Author(s):  
Bruce A. Conway ◽  
Christian M. Chilan ◽  
Bradley J. Wall
Keyword(s):  
Mission Planning ◽  
Planning Problems

scholarly journals A Knowledge-Based Simulated Annealing Algorithm to Multiple Satellites Mission Planning Problems

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Da-Wei Jin ◽  
Li-Ning Xing
Keyword(s):  
Simulated Annealing ◽  
Optimization Problem ◽  
Simulated Annealing Algorithm ◽  
Mission Planning ◽  
Knowledge Based ◽  
Combination Optimization ◽  
Annealing Algorithm ◽  
The Given ◽  
Planning Problems ◽  
Annealing Method

The multiple satellites mission planning is a complex combination optimization problem. A knowledge-based simulated annealing algorithm is proposed to the multiple satellites mission planning problems. The experimental results suggest that the proposed algorithm is effective to the given problem. The knowledge-based simulated annealing method will provide a useful reference for the improvement of existing optimization approaches.

scholarly journals GAMPP: Genetic Algorithm for UAV Mission Planning Problems

2015 ◽  
pp. 167-176 ◽  
Author(s):  
Gema Bello-Orgaz ◽  
Cristian Ramirez-Atencia ◽  
Jaime Fradera-Gil ◽  
David Camacho
Keyword(s):  
Genetic Algorithm ◽  
Mission Planning ◽  
Planning Problems

Solving complex multi-UAV mission planning problems using multi-objective genetic algorithms

2016 ◽  
Vol 21 (17) ◽  
pp. 4883-4900 ◽  
Author(s):  
Cristian Ramirez-Atencia ◽  
Gema Bello-Orgaz ◽  
María D. R-Moreno ◽  
David Camacho
Keyword(s):  
Genetic Algorithms ◽  
Mission Planning ◽  
Multi Objective ◽  
Planning Problems ◽  
Multi Uav

scholarly journals Method of the Mission Planning for the Communication between the Small Satellite Clusters

2019 ◽  
Vol 3 (5) ◽  
Author(s):  
Duoduo Yao
Keyword(s):  
Genetic Algorithm ◽  
Satellite Communication ◽  
Mission Planning ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Satellite Clusters ◽  
The Mathematical Model ◽  
Planning Problems ◽  
Astronomical Satellite ◽  
Single Objective

Mission planning of space astronomical satellite is a complex optimization problem, which is to determine the communication activities needed by space astronomical and research the in-orbit plan. By abstracting the relevant elements of the mission planning problems of space astronomical satellite and establishing the mathematical model of mission planning of the space astronomical satellite, we introduce the Genetic Algorithm and design the single-objective Genetic Algorithm based on the communication mission window. In addition, based on the Genetic Algorithm, a multi-objective Genetic Algorithm based on the sequence of communication window is designed, which improves the coding ability of Genetic Algorithm and improves the flexibility and applicability of planning effect. From the results of planning simulation, this paper not only innovatively introduces Genetic Algorithm into mission planning of satellite and ground data in order to improve the efficiency of mission planning of space astronomical satellite, but also optimizes single-objective mission to multi-objective mission, which improves the applicability of mission planning of satellite communication and provides reference for other relevant researches in the future.

Design and mission planning of Bobcat-1, the Ohio University CubeSat

2020 ◽  
Author(s):  
Kevin Croissant ◽  
Gregory Jenkins ◽  
Ryan McKnight ◽  
Brian C. Peters ◽  
Sabrina Ugazio ◽  
...  
Keyword(s):  
Mission Planning ◽  
Ohio University
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