A comparison of combat genetic and big bang–big crunch algorithms for solving the buffer allocation problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-020-01647-1.pdf
Reference55 articles.
1. Alatas, B. (2011). Uniform big bang-chaotic big crunch optimization. Communications in Nonlinear Science and Numerical Simulation, 16(9), 3696–3703. https://doi.org/10.1016/j.cnsns.2010.12.025.
2. Altiparmak, F., Dengiz, B., & Bulgak, A. A. (2002). Optimization of buffer sizes in assembly systems using intelligent techniques. Winter Simulation Conference Proceedings. https://doi.org/10.1109/wsc.2002.1166373.
3. Amiri, M., & Mohtashami, A. (2012). Buffer allocation in unreliable production lines based on design of experiments, simulation, and genetic algorithm. International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-011-3802-8.
4. Biradar, S., Hote, Y. V., & Saxena, S. (2016). Reduced-order modeling of linear time invariant systems using big bang big crunch optimization and time moment matching method. Applied Mathematical Modelling, 40(15–16), 7225–7244. https://doi.org/10.1016/j.apm.2016.03.006.
5. Bӓck. T. (1993). Optimal mutation rates in genetic search. In: Fifth international conference on genetic algorithms—ICGA (vol. 5, pp. 2–8). Morgan Kaufmann.
Cited by 9 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. Data-driven hybrid algorithm with multi-evolutionary sampling strategy for energy-saving buffer allocation in green manufacturing;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2024-01-27
2. Energy-efficient buffer and service rate allocation in manufacturing systems using hybrid machine learning and evolutionary algorithms;Advances in Manufacturing;2023-11-22
3. Development and Numerical Optimization of a System of Integrated Agents for Serial Production Lines;Processes;2023-05-22
4. A data-driven ensemble algorithm of black widow optimizer and simulated annealing algorithms for multi-objective buffer allocation in production lines;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2023-03-09
5. Joint Machine Selection and Buffer Allocation in Large Split and Merge Manufacturing Systems;IEEE Access;2023
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