An improved approximation algorithm for the atsp with parameterized triangle inequality. J. Algorithms, 2008. In Press, available on-line.ZHANG Tongquan, LI Weidong, LI Jianping. An improved approximation algorithm for the ATSP with parameterized triangle inequality [ J ]. Journal of Algorithms, ...
S. Li. An improved approximation algorithm for the hard uniform capacitated k-median problem. http://arxiv.org/abs/1406.4454, 2014.Shanfei Li. An Improved Approximation Algorithm for the Hard Uni- form Capacitated k-median Problem. In Approximation, Randomiza- tion, and Combinatorial ...
Approximation (Algorithm) In subject area: Computer Science An Approximation Algorithm is defined as a method used to efficiently find near-optimal solutions for complex computational problems, providing a practical approach to problem-solving by balancing speed and accuracy. AI generated definition based...
As a consequence of our improved algorithm, we solve within several minutes affine equivalence problem instances of size up to on a single core. Optimizing our implementation and exploiting parallelism would most likely allow solving instances of size at least using an academic budget. Such instances...
Pandit N, Tripathi A, Tapaswi S, Pandit M (2012) An improved bacterial foraging algorithm for combined static/dynamic environmental economic dispatch. Appl Soft Comput J 12(11):3500–3513.https://doi.org/10.1016/j.asoc.2012.06.011 ArticleGoogle Scholar ...
Generating Instance-level Prompts for Rehearsal-free Continual Learning(ICCV 2023)[paper] Heterogeneous Continual Learning(CVPR 2023)[paper] Partial Hypernetworks for Continual Learning(CoLLAs 2023)[paper] Learnability and Algorithm for Continual Learning(ICML 2023)[paper] Parameter-Level Soft-Masking for...
the improved surrogate model yields a better accuracy. However, we can also observe that excessive layers will lead to overfitting of the model, resulting in suboptimal results. Similar results can be obtained in Fig.6b, which analyzes the performance for a varying number of neurons. It can be...
The combination of hidden information with the main feature in this article has helped to create an improved model for Alzheimer’s disease/mild cognitive impairment (AD/MCI) classification with high diagnosis accuracy. In addition, thanks to the unsupervised feature and the pre-training of deep ...
OAECD algorithm is also focused on the static environment and has poor robustness for dynamic environment. In the Gonzalez’s literature the performance of the conventional algorithm was improved by changing the cell decomposition, the graphical weights of small cells and the numbering order (Gonzalez...
We present a new label-setting algorithm for the Multiobjective Shortest Path (MOSP) problem that computes a minimum complete set of efficient paths for a given instance. The size of the priority queue used in the algorithm is bounded by the number of nodes in the input graph and extracted ...