An efficient self-adaptive artificial bee colony algorithm for the distributed resource-constrained hybrid flowshop problem-Reference-Cited by-同舟云学术

An efficient self-adaptive artificial bee colony algorithm for the distributed resource-constrained hybrid flowshop problem

Published:2022-07 Issue: Volume:169 Page:108200
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Tao Xin-Rui,Pan Quan-Ke,Gao Liang

Funder

Shanghai Key Laboratory of Power Station Automation Technology

National Natural Science Foundation of China

Program of Shanghai Academic Research Leader

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference43 articles.

1. A shuffled frog-leaping algorithm with memeplex quality for bi-objective distributed scheduling in hybrid flow shop;Cai;International Journal of Production Research,2021

2. Resource-constrained flowshop scheduling with separate resource recycling operations;Cheng;Computers & Operations Research,2012

3. Artificial Bee Colony Optimized Deep Neural Network Model for Handling Imbalanced Stroke Data: ABC-DNN for Prediction of Stroke;Dev;International Journal of E-Health and Medical Communications (IJEHMC),2021

4. Cost and risk aggregation in multi-objective route planning for hazardous materials transportation—A neuro-fuzzy and artificial bee colony approach;Dragan;Expert Systems With Applications,2016

5. A heuristic for scheduling in a two-stage hybrid flowshop with renewable resources shared among the stages;Ewa;European Journal of Operational Research,2014

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