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What is Genetic Algorithm for Function Optimization about?

This document presents a genetic algorithm implemented in Matlab for function optimization, highlighting its efficiency and effectiveness compared to simulated annealing. The algorithm is tested on various non-linear, multi-modal test problems, demonstrating superior performance with a floating-point representation. Key components of the genetic algorithm, such as chromosome representation, selection functions, and genetic operators, are discussed in detail.

Author

Daniel Mora

Language

EN