Algoritmo Q-learning como estratégia de exploração e/ou explotação para metaheurísticas GRASP e algoritmo genético

Techniques of optimization known as metaheuristics have achieved success in the resolution of many problems classified as NP-Hard. These methods use non deterministic approaches that reach very good solutions which, however, don t guarantee the determination of the global optimum. Beyond the inheren...

詳細記述

保存先:
書誌詳細
第一著者: Lima Júnior, Francisco Chagas de
その他の著者: Melo, Jorge Dantas de
フォーマット: doctoralThesis
言語:por
出版事項: Universidade Federal do Rio Grande do Norte
主題:
MetaheurísticaGRASP
Algoritmos genéticos
AlgoritmoQ-learning
Problema do caixeiro viajante
GRASP metaheuristic
Genetic algorithm
Q-learning algorithm
Travelling salesman problem
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
オンライン･アクセス:https://repositorio.ufrn.br/jspui/handle/123456789/15129
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https://repositorio.ufrn.br/jspui/handle/123456789/15129

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