# Genetic optimization algorithms applied toward mission computability models

arXiv: https://arxiv.org/abs/2005.13105 · HTML: https://mlsanity.com/paper/2005.13105/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 May 2020.

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

- [Computational complexity reduction of deep neural networks](https://mlsanity.com/paper/2207.14620/) (2022)

## Abstract (arXiv)

Genetic algorithms are modeled after the biological evolutionary processes that use natural selection to select the best species to survive. They are heuristics based and low cost to compute. Genetic algorithms use selection, crossover, and mutation to obtain a feasible solution to computational problems. In this paper, we describe our genetic optimization algorithms to a mission-critical and constraints-aware computation problem.