Genetic optimization algorithms applied toward mission computability models

Genetic optimization algorithms applied toward mission computability models

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 pro...

Full description

Saved in:
Bibliographic Details
Main Authors: Im, Mee Seong, Dasari, Venkat R
Format: Journal Article
Language:English
Published: 26-05-2020
Subjects:
Computer Science - Neural and Evolutionary Computing
Mathematics - Optimization and Control
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
DOI:10.48550/arxiv.2005.13105