A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization

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A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization

13 January 2025

Chen Chen

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Papers citing "A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization"

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Title
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation Pablo S. Naharro Pablo Toharia A. Latorre J. Peña 44 13 0 04 Oct 2024
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes P. Saves R. Lafage N. Bartoli Y. Diouane J. Bussemaker T. Lefebvre John T. Hwang J. Morlier J. Martins MoE 112 72 0 23 May 2023
Nature-Inspired Algorithms for Wireless Sensor Networks: A Comprehensive Survey Abhilash Singh Sandeep Sharma Jitenda Singh 41 138 0 24 Dec 2020
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 983 133,443 0 12 Jun 2017
On Loss Functions for Deep Neural Networks in Classification Katarzyna Janocha Wojciech M. Czarnecki UQCV 80 553 0 18 Feb 2017
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 242 3,683 0 24 Jun 2016
The generalization of Latin hypercube sampling Michael D. Shields Jiaxin Zhang 60 414 0 24 Jul 2015
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 106 1,045 0 19 Feb 2015