Scheduling Bi-Objective Lot-Streaming Hybrid Flow Shops with Consistent Sublots via an Enhanced Artificial Bee Colony Algorithm

This work addresses bi-objective hybrid flow shop scheduling problems considering consistent sublots (Bi-HFSP_CS). The objectives are to minimize the makespan and total energy consumption. First, the Bi-HFSP_CS is formalized, followed by the establishment of a mathematical model. Second, enhanced ve...

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Autors principals:	Benxue Lu, Kaizhou Gao, Peiyong Duan, Adam Slowik
Format:	Artigo
Idioma:	Inglês
Publicat:	Tsinghua University Press 2025-03-01
Col·lecció:	Complex System Modeling and Simulation
Matèries:	hybrid flow shop scheduling q-learning lot streaming local search
Accés en línia:	https://www.sciopen.com/article/10.23919/CSMS.2024.0022
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