Work

Genetic optimization algorithms applied toward mission computability models

Year: 2020

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2005.13105

Authors: Im, Mee Seong, Dasari, Venkat R.

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Army Research Laboratory

OpenAlex ID: W3030564796

Cites: 23

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Related to: 20