A simulation-based genetic algorithm for a semi-automated warehouse scheduling problem with processing time variability-Reference-Cited by-同舟云学术

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A simulation-based genetic algorithm for a semi-automated warehouse scheduling problem with processing time variability

Published:2024-07 Issue: Volume:160 Page:111713
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Teck Sander^ORCID,Dewil Reginald^ORCID,Vansteenwegen Pieter^ORCID

Funder

Fonds Wetenschappelijk Onderzoek Vlaanderen

Publisher

Elsevier BV

Reference31 articles.

1. Warehousing in the E-commerce era: a survey;Boysen;Eur. J. Oper. Res.,2019

2. Proactive policies for the stochastic resource-constrained project scheduling problem;Deblaere;Eur. J. Oper. Res.,2011

3. Evolutionary learning based simulation optimization for stochastic job shop scheduling problems;Ghasemi;Appl. Soft Comput.,2021

4. Optimal computing budget allocation for complete ranking;Xiao;IEEE Trans. Autom. Sci. Eng.,2014

5. Simulation optimization applied to production scheduling in the era of industry 4.0: a review and future roadmap;Ghasemi;J. Ind. Inf. Integr.,2024

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Unmanned Aerial Vehicle Task Assignment with the Adaptive Sampling-Based Task Rationality Review Algorithm;Drones;2024-08-24

2. Optimization of Storage and Retrieval Strategies in Warehousing Based on Enhanced Genetic Algorithm;IEEE Access;2024

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