Items where Author / Artist / Editor is "He, Xingshi"

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Number of items: 8.

Article

Yang, Xin-She, Deb, Suash, Fong, Simon, He, Xingshi and Zhao, Yu-Xin (2016) From swarm intelligence to metaheuristics: nature-inspired optimization algorithms. Computer, 49 (9). pp. 52-59. ISSN 0018-9162

Yang, Xin-She, Deb, Suash, Hanne, Thomas and He, Xingshi (2015) Attraction and diffusion in nature-inspired optimization algorithms. Neural Computing and Applications . ISSN 0941-0643 (Published online first)

Yang, Xin-She, Karamanoglu, Mehmet and He, Xingshi (2014) Flower pollination algorithm: a novel approach for multiobjective optimization. Engineering Optimization, 46 (9). pp. 1222-1237. ISSN 0305-215X

Yang, Xin-She, Karamanoglu, Mehmet and He, Xingshi (2013) Multi-objective flower algorithm for optimization. Procedia Computer Science, 18 . 861- 868. ISSN 1877-0509

Book Section

Yang, Xin-She and He, Xingshi (2016) Nature-inspired optimization algorithms in engineering: overview and applications. In: Nature-Inspired Computation in Engineering. Yang, Xin-She, ed. Studies in Computational Intelligence, 637 . Springer, pp. 1-20. ISBN 9783319302331

Yang, Xin-She and He, Xingshi (2015) Swarm intelligence and evolutionary computation: overview and analysis. In: Recent advances in swarm intelligence and evolutionary computation. Yang, Xin-She, ed. Studies in Computational Intelligence (585). Springer, pp. 1-23. ISBN 9783319138251

Conference or Workshop Item

He, Xingshi, Yang, Xin-She, Karamanoglu, Mehmet and Zhao, Yuxin (2017) Global convergence analysis of the flower pollination algorithm: a Discrete-Time Markov Chain Approach. In: International Conference on Computational Science, ICCS 2017, 12-14 Jun 2017, Zurich, Switzerland.

Yang, Xin-She, Deb, Suash, Karamanoglu, Mehmet and He, Xingshi (2012) Cuckoo search for business optimization applications. In: National Conference on Computing and Communication Systems (NCCCS), 21 - 22 November 2012, Durgapur, West Bengal, India.

This list was generated on Tue Apr 23 04:39:27 2019 BST.