Balancing global and local search in parallel efficient global optimization algorithms
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DOI: 10.1007/s10898-016-0449-x
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- Ivo Couckuyt & Dirk Deschrijver & Tom Dhaene, 2014. "Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization," Journal of Global Optimization, Springer, vol. 60(3), pages 575-594, November.
- Zhiwei Feng & Qingbin Zhang & Qingfu Zhang & Qiangang Tang & Tao Yang & Yang Ma, 2015. "A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization," Journal of Global Optimization, Springer, vol. 61(4), pages 677-694, April.
- Felipe Viana & Raphael Haftka & Layne Watson, 2013. "Efficient global optimization algorithm assisted by multiple surrogate techniques," Journal of Global Optimization, Springer, vol. 56(2), pages 669-689, June.
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Cited by:
- Dawei Zhan & Huanlai Xing, 2020. "Expected improvement for expensive optimization: a review," Journal of Global Optimization, Springer, vol. 78(3), pages 507-544, November.
- Mingyang Li & Jinjun Tang & Xianwei Meng, 2022. "Multiple Surrogate-Model-Based Optimization Method Using the Multimodal Expected Improvement Criterion for Expensive Problems," Mathematics, MDPI, vol. 10(23), pages 1-21, November.
- Zhang, Xiaoling & Zhang, Kejia & Yang, Xiao & Fazeres-Ferradosa, Tiago & Zhu, Shun-Peng, 2023. "Transfer learning and direct probability integral method based reliability analysis for offshore wind turbine blades under multi-physics coupling," Renewable Energy, Elsevier, vol. 206(C), pages 552-565.
- Shengguan Xu & Hongquan Chen, 2018. "Nash game based efficient global optimization for large-scale design problems," Journal of Global Optimization, Springer, vol. 71(2), pages 361-381, June.
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Keywords
Surrogate-based optimization; Efficient global optimization; Multi-modal optimization; Parallel computing;All these keywords.
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