# Variations of Genetic Algorithms

arXiv: https://arxiv.org/abs/1911.00490 · HTML: https://mlsanity.com/paper/1911.00490/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Nov 2019.

## Built on by (most cited first, 1 of 1)

- [Hybrid Metaheuristic Vehicle Routing Problem for Security Dispatch Operations](https://mlsanity.com/paper/2503.01121/) (2025)

## 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.