Variations of Genetic Algorithms
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Abstract (arXiv)
The goal of this project is to develop the Genetic Algorithms (GA) for solving the Schaffer F6 function in fewer than 4000 function evaluations on a total of 30 runs. Four types of Genetic Algorithms (GA) are presented - Generational GA (GGA), Steady-State (mu+1)-GA (SSGA), Steady-Generational (mu,mu)-GA (SGGA), and (mu+mu)-GA.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 1 Nov 2019.
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1 paper.