Reconnaissance problem using genetic algorithms
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The reconnaissance problem is studied using genetic algorithms. The solution for the problem is an orbit which visits all the target sites without the use of fuel. The cost function that we wish to minimize has many local minima. Genetic algorithms is more efficient in solving this type of problem. The objective is to find an Earth orbit that best visits all the target sites within a given time frame and within an error tolerance for each target site. Two types of missions are considered. The first is to get the highest resolution for each site for a given imaging sensor. The second is to get the maximum observation time for each site. Results for both cases are presented.