Genetic algorithms - An introduction and an overview of their capabilities
Kalmanje S. Krishnakumar · Guidance, Navigation and Control Conference · 1992
Genetic algorithms are parameter search procedures based upon the mechanics of natural genetics. They combine a Darwinian survival-ofthe-fittest with a random, yet structured information exchange among a population of artificial chromosomes. This technique has gained popularity in the recent years as a robust optimization tool for variety of problems in engineering, science, economics, finance, etc. This paper presents a simple introduction in to the workings of a genetic algorithm. Two variations of genetic algorithm that are useful in certain optimization problems are outlined. An overview of the capabilities of genetic algorithms in aerospace systems optimization is also presented.