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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
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-08-01
Serier:Biomimetics
Fag:
self-learning hyper-heuristic algorithm based on genetic algorithm
fuzzy logistics scheduling
cruise ship
PMCU
Online adgang:https://www.mdpi.com/2313-7673/9/9/516
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