A Self-Learning Hyper-Heuristic Algorithm Based on a Genetic Algorithm: A Case Study on Prefabricated Modular Cabin Unit Logistics Scheduling in a Cruise Ship Manufacturer

Hyper-heuristic algorithms are known for their flexibility and efficiency, making them suitable for solving engineering optimization problems with complex constraints. This paper introduces a self-learning hyper-heuristic algorithm based on a genetic algorithm (GA-SLHH) designed to tackle the logist...

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Principais autores:	Jinghua Li, Ruipu Dong, Xiaoyuan Wu, Wenhao Huang, Pengfei Lin
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-08-01
Series:	Biomimetics
Assuntos:	self-learning hyper-heuristic algorithm based on genetic algorithm fuzzy logistics scheduling cruise ship PMCU
Acceso en liña:	https://www.mdpi.com/2313-7673/9/9/516
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