Efficient Resource Allocation for Protecting Coral Reef Ecosystems

Authors: Yue Yin, Bo An

IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental Experimental results show that our approach leads to significantly better solution quality than that of previous works. ... We evaluate the proposed algorithms in terms of (1) solution quality, (2) scalability, and (3) robustness.
Researcher Affiliation Academia Yue Yin1,2, Bo An3 1The Key Lab of Intelligent Information Processing, ICT, CAS 2University of Chinese Academy of Sciences, Beijing, China 3School of Computer Science and Engineering, Nanyang Technological University, Singapore
Pseudocode Yes Algorithm 1: CDOG... Algorithm 2: Find optimal path (c, v)
Open Source Code No The paper does not contain any explicit statement about releasing source code for the described methodology or a link to a code repository.
Open Datasets No The paper describes generating 'sample games' or 'MPA graphs' for experiments rather than using a traditional, named public dataset with specific access information.
Dataset Splits No The paper describes generating 'sample games' for experiments but does not specify dataset splits such as training, validation, or test sets in the traditional sense. It evaluates performance on these generated instances.
Hardware Specification No The paper does not provide any specific details about the hardware used for running the experiments (e.g., CPU, GPU models, memory, or cloud instances).
Software Dependencies Yes The CLP is solved by Knitro 9.0.0.
Experiment Setup Yes Each point in the figures is the average value over 30 sample games. We assume 3 patrollers, 9 zones and divide the timeline into 12 points unless otherwise specified. ... We add 0-mean Gaussian noise with standard deviations chosen randomly from U[0, 0.5] to the coverage on each edge observed by the attacker.