evolutionary algorithms
[ˌɛvəˈluːʃənəri ˈælɡərɪðəmz]
nounpl: evolutionary algorithms
algoritmos evolutivos
1. A class of computational optimization techniques inspired by biological evolution, including natural selection, mutation, and crossover to solve complex problems and find optimal solutions
Evolutionary algorithms are used in engineering design to optimize component performance without manual iteration.
Algoritmos evolutivos são utilizados no design de engenharia para otimizar o desempenho de componentes sem iteração manual.
2. A population-based metaheuristic method that iteratively generates and tests candidate solutions to improve fitness over successive generations
The team implemented evolutionary algorithms to solve the traveling salesman problem more efficiently.
A equipe implementou algoritmos evolutivos para resolver o problema do caixeiro viajante de forma mais eficiente.
3. Computational methods that mimic the process of natural evolution to search solution spaces and adapt parameters automatically
Machine learning researchers apply evolutionary algorithms to hyperparameter tuning in neural networks.
Pesquisadores de aprendizado de máquina aplicam algoritmos evolutivos para ajuste de hiperparâmetros em redes neurais.
Evolutionary algorithms are widely studied in both Brazilian and American computer science and engineering programs. In Brazil, the term is heavily used in research institutions like UNICAMP and USP. The field emerged from fundamental research in the 1960s-1990s and remains central to optimization, artificial intelligence, and computational intelligence research globally. Portuguese universities also maintain strong research traditions in this area, with some preferring the form 'algoritmos evolucionários.'
Related Idioms & Phrases
survival of the fittest (in the context of solution selection)
natural selection process (when describing algorithm operation)
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