scholarly journals A Mission Planning Approach for Precision Farming Systems Based on Multi-Objective Optimization

Sensors ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 1795 ◽  
Author(s):  
Zhaoyu Zhai ◽  
José-Fernán Martínez Ortega ◽  
Néstor Lucas Martínez ◽  
Jesús Rodríguez-Molina
Keyword(s):  
Farming Systems ◽  
Precision Farming ◽  
Mission Planning ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Planning Approach

Multi-objective optimization and design of farming systems

2012 ◽  
Vol 110 ◽  
pp. 63-77 ◽  
Author(s):  
Jeroen C.J. Groot ◽  
Gerard J.M. Oomen ◽  
Walter A.H. Rossing
Keyword(s):  
Farming Systems ◽  
Multi Objective Optimization ◽  
Multi Objective

Multi-objective optimization of space station short-term mission planning

2015 ◽  
Vol 58 (12) ◽  
pp. 2169-2185 ◽  
Author(s):  
HuiJiao Bu ◽  
Jin Zhang ◽  
YaZhong Luo ◽  
JianPing Zhou
Keyword(s):  
Space Station ◽  
Mission Planning ◽  
Multi Objective Optimization ◽  
Short Term ◽  
Multi Objective

scholarly journals A SATELLITE IMAGING MISSION PLANNING METHOD FOR FAST ANTARCTICA COVERAGE

2020 ◽  
Vol V-4-2020 ◽  
pp. 217-222
Author(s):  
Y. Chen ◽  
X. Shen ◽  
G. Zhang ◽  
T. Liu ◽  
Z. Lu ◽  
...  
Keyword(s):  
Time Window ◽  
Time Windows ◽  
Ice Sheet ◽  
Planning Method ◽  
Mission Planning ◽  
Multi Objective Optimization ◽  
Antarctic Ice Sheet ◽  
Satellite Imaging ◽  
Multi Objective ◽  
Imaging Time

Abstract. Global warming has become one of the most prominent global issues, and Antarctic ice sheet is one of the indicator of global climate change. Satellite imagery has become an important means of monitoring the changes in Antarctic ice sheet. Due to the high overlap of satellite imaging swaths, the existing Antarctica images have the disadvantages of long period of imagery acquisition, large temporal difference among the mosaic images, and low utilization of satellite resource. This paper proposes a satellite imaging mission planning method for fast Antarctica coverage. First, the imaging time window is forecasted within the specified imaging time range to obtain all the visible time windows of the imaging satellite to Antarctica. Then, taking the selection of each time window and the satellite swing angle in each time window as decision variables, and the satellite attitude maneuver ability as constraint, an imaging mission model including two objective functions with minimum number of imaging time windows and the maximum coverage rate is established. To solving the proposed multi-objective optimization model, an improved real-binary hybrid LMOCSO (large-scale multi-objective optimization based on a competitive swarm optimizer) is proposed in this paper. Finally, a simulation experiment was performed using Gaofen-3 satellite to verify the effectiveness of the proposed method.

Sign in / Sign up

Export Citation Format

Share Document