Weighting-based Variable Neighborhood Search for Optimal Camera Placement

Authors: Zhouxing Su, Qingyun Zhang, Zhipeng Lü, Chu-Min Li, Weibo Lin, Fuda Ma12400-12408

AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental Computational experiments on the 69 benchmark instances introduced in the GECCO 2020 Competition on OCP and USCP show that WVNS is extremely competitive comparing to the state-of-the-art methods. It outperforms or matches several best performing competitors on all instances in both the OCP and USCP tracks of the competition, and its advantage on 15 large-scale instances are over 10%. In addition, WVNS improves the previous best known results for 12 classical benchmark instances in the literature.
Researcher Affiliation Collaboration Zhouxing Su, 1 Qingyun Zhang, 1 Zhipeng L u, 1 Chu-Min Li, 2 Weibo Lin, 3 Fuda Ma3 1SMART, School of Computer Science and Technology, Huazhong University of Science and Technology, China 2MIS, University of Picardie Jules Verne, France 3Huawei Technologies Co., Ltd., China
Pseudocode Yes Algorithm 1 The main framework of the WVNS algorithm
Open Source Code No The paper does not provide an explicit statement or link for the open-sourcing of the code for their methodology.
Open Datasets Yes We conduct extensive experiments on 69 instances used in GECCO 2020 Competition on OCP and USCP... There are 32 academic instances (AC) and 37 real-world ones (RW) in the GECCO dataset1. 1http://www.mage.fst.uha.fr/brevilliers/gecco-2020-ocp-uscp-competition/
Dataset Splits No The paper refers to using benchmark instances but does not provide specific training, validation, and test dataset splits or cross-validation details for reproducibility.
Hardware Specification Yes The experiments are run on a server equipped with 2.6GHz CPU and 128GB RAM.
Software Dependencies Yes The connected component reduction rule is implemented by running exact mixed-integer linear programming (MILP) solver Gurobi 9.0.1 (Gurobi Optimization, LLC 2019)
Experiment Setup Yes We perform four independent runs under 1,000-second time limit on a single CPU core, which is the same as adopted in Br evilliers et al. (2018). ... If the weight of any element exceeds a given threshold, the proposed algorithm will divide the weight of each element by two. Specifically, the threshold is set to 216 in WVNS.