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Genetic Algorithms in Optimization by Habtamu Abraham is a document available to read on EtoBox.

What is Genetic Algorithms in Optimization about?

Genetic algorithms are an iterative optimization method inspired by biology. They work by creating a population of individuals with chromosomes encoding properties, evaluating fitness, and generating new generations through reproduction with crossover and mutation of the fittest parents. As an example, the document describes using genetic algorithms to solve the Thomson problem of minimizing the electrostatic energy of point charges on a sphere through encoding charge positions in binary chromosomes.

Author

Habtamu Abraham

Language

EN