Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications

Published:2018-01-17 Issue:1-2 Volume:56 Page:193-223
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Lin Lin¹²³,Gen Mitsuo²⁴

Affiliation:

1. DUT-RU Inter. School of Information Science & Engineering, Dalian University of Technology, Dalian, China

2. Fuzzy Logic Systems Institute, Fukuoka, Japan

3. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian University of Technology, Dalian, China

4. Research Institute of Science & Technology, Tokyo University of Science, Tokyo, Japan

Funder

National Natural Science Foundation of China

Grant-in-Aid for Scientific Research (C) of Japan Society of Promotion of Science

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2018.1437288

Reference172 articles.

1. Simulation modelling and analysis of scheduling in robotic flexible assembly cells using Taguchi method

2. The Shifting Bottleneck Procedure for Job Shop Scheduling

3. Convergence Acceleration Operator for Multiobjective Optimization

4. Unconventional initialization methods for differential evolution

Cited by 54 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. Intelligent optimization with learning for scheduling and logistics systems;Computers & Industrial Engineering;2024-10

2. Hybrid deep convolution network and differential evolution algorithm for solving non-permutation flow shop scheduling problem;Journal of Intelligent & Fuzzy Systems;2024-04-23

3. Artificial Intelligence Application in Production Scheduling Problem Systematic Literature Review: Bibliometric Analysis, Research Trend, and Knowledge Taxonomy;Operations Research Forum;2024-04-01

4. Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey;Frontiers in Industrial Engineering;2024-02-28

5. A conceptual framework for the operations planning of the textile supply chains: Insights for sustainable and smart planning in uncertain and dynamic contexts;Computers & Industrial Engineering;2024-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3