This paper will review results and discuss a novel method to address the multiple-objective optimization problem of ground station placement; enabling continuous communication with the mega constellation defined in Optimized Continuous Global Coverage Constellation using a Genetic Algorithm. A genetic algorithm implemented in MATLAB explored the globe utilizing Satellite Tool Kit to determining the optimal number of ground stations and their placement – considering local infrastructure available and the constellation connectivity during a 24-hour period. A new revenue-based fitness function evaluated these parameters and the potential revenue to determine the most profitable configuration
Investment of communication satellite consists of two segment, i.e space segment and ground segment....
The problem of assigning customers to satellite channels is considered. Finding an optimal allocatio...
The problem of assigning customers to satellite channels is considered. Finding an optimal allocatio...
This paper will review results and discuss a novel method to address the multiple-objective optimiza...
International audienceThis paper describes the application of an evolutionary optimization method to...
International audienceThis paper describes the application of an evolutionary optimization method to...
International audienceThis paper describes the application of an evolutionary optimization method to...
International audienceThis paper describes the application of an evolutionary optimization method to...
A novel strategy for automatic satellite constellation design with satellite diversity is proposed. ...
In this paper we propose a meta-heuristic approach to cope with the satellite constellation design f...
In this paper we propose a meta-heuristic approach to cope with the satellite constellation design f...
In this paper we propose a meta-heuristic approach to cope with the satellite constellation design f...
In this paper we propose a meta-heuristic approach to cope with the satellite constellation design f...
Currently, there are four Global Navigation Satellite Systems (GNSS) either being developed or in ex...
Genetic algorithms are mostly considered to represent the primary class of evolutionary methods that...
Investment of communication satellite consists of two segment, i.e space segment and ground segment....
The problem of assigning customers to satellite channels is considered. Finding an optimal allocatio...
The problem of assigning customers to satellite channels is considered. Finding an optimal allocatio...
This paper will review results and discuss a novel method to address the multiple-objective optimiza...
International audienceThis paper describes the application of an evolutionary optimization method to...
International audienceThis paper describes the application of an evolutionary optimization method to...
International audienceThis paper describes the application of an evolutionary optimization method to...
International audienceThis paper describes the application of an evolutionary optimization method to...
A novel strategy for automatic satellite constellation design with satellite diversity is proposed. ...
In this paper we propose a meta-heuristic approach to cope with the satellite constellation design f...
In this paper we propose a meta-heuristic approach to cope with the satellite constellation design f...
In this paper we propose a meta-heuristic approach to cope with the satellite constellation design f...
In this paper we propose a meta-heuristic approach to cope with the satellite constellation design f...
Currently, there are four Global Navigation Satellite Systems (GNSS) either being developed or in ex...
Genetic algorithms are mostly considered to represent the primary class of evolutionary methods that...
Investment of communication satellite consists of two segment, i.e space segment and ground segment....
The problem of assigning customers to satellite channels is considered. Finding an optimal allocatio...
The problem of assigning customers to satellite channels is considered. Finding an optimal allocatio...