Shangce Gao

Professor, 博士(工学) 富山大学 2011年3月

Calculated based on number of publications stored in Pure and citations from Scopus
20072025

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  • 2019

    Brain storm algorithm combined with covariance matrix adaptation evolution strategy for optimization

    Yu, Y., Yang, L., Wang, Y. & Gao, S., 2019, Adaptation, Learning, and Optimization. Springer Verlag, p. 123-154 32 p. (Adaptation, Learning, and Optimization; vol. 23).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    6 Scopus citations
  • 2018

    Ant colony systems for optimization problems in dynamic environments

    Wang, Y., Gao, S. & Todo, Y., 2018/01/01, Swarm Intelligence - Volume 1: Principles, current algorithms and methods. Institution of Engineering and Technology, p. 85-120 36 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    6 Scopus citations
  • 2014

    Imperialist competitive algorithm with trading mechanism for optimization

    Wang, S., Aorigele, Luo, J. & Gao, S., 2014, Computational Intelligence, Networked Systems and Their Applications - International Conference of Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings. Fei, M., Song, Y., Peng, C., Su, Z., Su, Z., Song, Y. & Han, Q. (eds.). Springer Verlag, p. 87-98 12 p. (Communications in Computer and Information Science; vol. 462).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • 2010

    Artificial clonal selection model and its application

    Gao, S., Tang, Z. & Tamura, H., 2010, Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies. IGI Global, p. 100-122 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review