Genetic Algorithm Based on Natural Selection Theory for Optimization Problems
Abstract
The metaheuristic genetic algorithm (GA) is based on the natural selection process that falls under the umbrella category of evolutionary algorithms (EA). Genetic algorithms are typically utilized for generating high-quality solutions for search and optimization problems by depending on bio-oriented operators such as selection, crossover, and mutation. However, the GA still suffers from some downsides and needs to be improved so as to attain...
Paper Details
Title
Genetic Algorithm Based on Natural Selection Theory for Optimization Problems
Published Date
Oct 23, 2020
Journal
Volume
12
Issue
11
Pages
1758 - 1758
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