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The article discusses the binary genetic algorithm (BGA), which is a type of evolutionary algorithm used to solve optimization problems. BGA uses principles of natural selection and genetics to create new generations of solutions. The development of BGA was inspired by ideas from evolutionary algorithms, genetics, and optimization.
