An Artificial Orca Algorithm for Continuous Problems
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-73050-5_68
Reference16 articles.
1. Dorigo, M., Caro, G.D., Gambardella, L.M.: Ant algorithms for discrete optimization (1999). https://doi.org/10.1162/106454699568728
2. Drias, H., Sadeg, S., Yahi, S.: Cooperative bees swarm for solving the maximum weighted satisfiability problem. In: Cabestany, J., Prieto, A., Sandoval, F. (eds.) Computational Intelligence and Bioinspired Systems, pp. 318–325. Springer, Heidelberg (2005)
3. Ford, J.: Killer whales: behavior, social organization, and ecology of the oceans’ apex predators, pp. 239–259 (08 2019). https://doi.org/10.1007/978-3-030-16663-2_11
4. Heidari, A.A., Mirjalili, S., Faris, H., Aljarah, I., Mafarja, M., Chen, H.: Harris hawks optimization: algorithm and applications. Futur. Gener. Comput. Syst. 97, 849–872 (2019). https://doi.org/10.1016/j.future.2019.02.028. http://www.sciencedirect.com/science/article/pii/S0167739X18313530
5. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of the International Conference on Neural Networks, ICNN 1995, vol. 4, pp. 1942–1948, November 1995. https://doi.org/10.1109/ICNN.1995.488968
Cited by 4 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. A GPU-Based Artificial Orca Algorithm for Solving Traveling Salesman Problem;Communications in Computer and Information Science;2023
2. A Three-Phase Artificial Orcas Algorithm for Continuous and Discrete Problems;International Journal of Applied Metaheuristic Computing;2022-09-02
3. Swarm Intelligent Approaches for Ambulance Dispatching and Emergency Calls Covering: Application to COVID-19 Spread in Saudi Arabia;Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021);2022
4. An Efficient Deep Self-learning Artificial Orca Algorithm for Solving Ambulance Dispatching and Calls Covering Problem;Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021);2022
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