Genetic optimization algorithms applied toward mission computability models
Neural and Evolutionary Computing
2020-05-28 v1 Optimization and Control
Abstract
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.
Cite
@article{arxiv.2005.13105,
title = {Genetic optimization algorithms applied toward mission computability models},
author = {Mee Seong Im and Venkat R. Dasari},
journal= {arXiv preprint arXiv:2005.13105},
year = {2020}
}
Comments
11 pages