Genetic algorithm in optimization tasks
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Many, if not most, optimization problems have multiple objectives. Historically, multiple objectives have been combined ad hoc to form a scalar objective function, usually through a linear combination (weighted sum) of the multiple attributes, or by turning objectives into constraints.
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Polupan, V. Genetic algorithm in optimization tasks / V. Polupan, G. Cherednichenko // Youth scientific achievements to the 21st century nutrition problem solution : 82 International scientific conference of young scientist and students, 13–14 April 2016. – Part 4. – Kyiv : NUFT, 2016. – P. 206.