An Analysis of Sub-swarms in Multi-swarm Systems
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-25832-9_28
Reference12 articles.
1. Bratton, D., Kennedy, J.: Defining a Standard for Particle Swarm Optimization. In: Proceedings of the 2007 IEEE Swarm Intelligence Symposium, pp. 120–127 (2007)
2. Chen, S.: Locust Swarms – A New Multi–Optima Search Technique. In: Proceedings of the 2009 IEEE Congress on Evolutionary Computation, pp. 1942–1948 (2009)
3. Chen., S., Montgomery, J.: Selection Strategies for Initial Positions and Initial Velocities in Multi–optima Particle Swarms. In: Proceedings of the 2011 Genetic and Evolutionary Computation Conference, pp. 53–60 (2011)
4. Chen., S., Noa Vargas, Y.: Improving the Performance of Particle Swarms through Dimension Reductions – A Case Study with Locust Swarms. In: Proceedings of the 2010 IEEE Congress on Evolutionary Computation, pp. 211–220 (2010)
5. Clerc, M., Kennedy, J.: The particle swarm – explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation 6(1), 58–73 (2002)
Cited by 15 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. Swarm intelligence based object tracking;Multimedia Tools and Applications;2023-02-06
2. Embedding ensemble learning into simulation-based optimisation: a learning-based optimisation approach for construction planning;Engineering, Construction and Architectural Management;2021-08-10
3. An Evolutionary-based Random Weight Networks with Taguchi Method for Arabic Web Pages Classification;Arabian Journal for Science and Engineering;2021-02-05
4. Deep learning-driven particle swarm optimisation for additive manufacturing energy optimisation;Journal of Cleaner Production;2020-02
5. A Discrete Particle Swarm Optimization Technique for Designing a 3D NoC-Based Multi-Core Systems;Design and Test Strategies for 2D/3D Integration for NoC-based Multicore Architectures;2019-12-21
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