logo

SCIENCE CHINA Information Sciences, Volume 62, Issue 9: 199102(2019) https://doi.org/10.1007/s11432-018-9539-6

Zoning search using a hyper-heuristic algorithm

More info
  • ReceivedJun 14, 2018
  • AcceptedJul 31, 2018
  • PublishedJul 29, 2019

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61590925, 61603244, 61773260), and in part by China Postdoctoral Science Foundation (Grant No. 2018M642017).


Supplement

Tables A1–A3.


References

[1] Lin F, Phoa F. A performance study of parallel programming via CPU and GPU on swarm intelligence based evolutionary algorithm. In: Proceedings of International Conference on Intelligent Systems, Metaheuristics and Swarm Intelligence, 2017. Google Scholar

[2] Laili Y, Zhang L, Tao F. Rotated neighbor learning-based auto-configured evolutionary algorithm. Sci China Inf Sci, 2016, 59: 052101 CrossRef Google Scholar

[3] Fan Q, Yan X, Zhang Y. Auto-selection mechanism of differential evolution algorithm variants and its application. Eur J Operational Res, 2018, 270: 636-653 CrossRef Google Scholar

[4] Jingqiao Zhang , Sanderson A C. JADE: Adaptive Differential Evolution With Optional External Archive. IEEE Trans Evol Computat, 2009, 13: 945-958 CrossRef Google Scholar

[5] Fan Q, Yan X. Differential evolution algorithm with self-adaptive strategy and control parameters for P-xylene oxidation process optimization. Soft Comput, 2015, 19: 1363-1391 CrossRef Google Scholar

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备18024590号-1       京公网安备11010102003388号