genetic algorithms
[jəˈnɛtɪk ˈælɡərɪðəmz]
nounpl: genetic algorithms
algoritmos genéticos
1. Search and optimization algorithms inspired by the process of natural selection and genetics, where potential solutions evolve through generations using mechanisms analogous to biological reproduction and mutation
Genetic algorithms are used to solve complex optimization problems by simulating the process of natural selection.
Algoritmos genéticos são usados para resolver problemas complexos de otimização simulando o processo de seleção natural.
2. Computational techniques that use concepts such as inheritance, mutation, selection, and crossover to generate and evolve candidate solutions to a given problem
The research team employed genetic algorithms to find the most efficient route for the delivery network.
A equipe de pesquisa utilizou algoritmos genéticos para encontrar a rota mais eficiente para a rede de entrega.
Genetic algorithms represent a significant intersection of computer science and biology, particularly valued in Brazilian and international tech communities for solving real-world problems in finance, engineering, and logistics. The term is used consistently across Portuguese-speaking regions in academic and professional settings, reflecting the global nature of computer science terminology.
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