Genetic optimization algorithms applied toward mission computability models

2020/05/27 by Im, Mee Seong, Dasari, Venkat R.
#FOS: Computer and information sciences #FOS: Mathematics #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)

paper · doi:10.48550/arxiv.2005.13105

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.

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