A Genetic Algorithm Approach to Multi-Agent Mission Planning Problems

2019 ◽  
pp. 109-134
Author(s):  
Branko Miloradović ◽  
Baran Çürüklü ◽  
Mikael Ekström ◽  
Alessandro V. Papadopoulos
Keyword(s):  
Genetic Algorithm ◽  
Mission Planning ◽  
Genetic Algorithm Approach ◽  
Multi Agent ◽  
Planning Problems

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

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.

A Genetic Algorithm Approach to Multi-Agent Itinerary Planning in Wireless Sensor Networks

2010 ◽  
Vol 16 (6) ◽  
pp. 782-793 ◽  
Author(s):  
Wei Cai ◽  
Min Chen ◽  
Takahiro Hara ◽  
Lei Shu ◽  
Taekyoung Kwon
Keyword(s):  
Genetic Algorithm ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Itinerary Planning ◽  
Genetic Algorithm Approach ◽  
Multi Agent
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