Variations of Genetic Algorithms

November 01, 2019 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Alison Jenkins, Vinika Gupta, Alexis Myrick, Mary Lenoir arXiv ID 1911.00490 Category cs.NE: Neural & Evolutionary Cross-listed cs.LG Citations 2 Venue arXiv.org Last Checked 4 months ago
Abstract
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.
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