Left: the algorithm’s best estimate of where to put breakpoints for each number of breakpoints considered. by Zhengtian Li (5076704)

Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

Critical values of membership functions learned from the study cohort by the algorithm. by Yufeng Zhang (195768)

Proposed algorithm. by Keenjhar Ayoob (22339616)

Table_1_Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.DOCX by Mohammad Dashtkoohi (15417886)

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

Investigate the variation of the cost function in situations where many obstacles and other robots are detected. by Quoc Bao Diep (18452207)

Flowchart of one iteration of the CE-Symm algorithm. by Spencer E. Bliven (6672755)

Algorithm parameter setting. by Tianrui Zhang (2294542)

“…Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.…”

Algorithm parameter setting. by Tianrui Zhang (2294542)

“…Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.…”

Benchmark functions. by Peiwen Zhang (1863202)

Membership function of each target. by Tianrui Zhang (2294542)

“…Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.…”

Artificial colony algorithm flow. by Jianpeng Zhang (528185)

“…In the neighborhood intervals where the nectar sources are firmly connected and relatively independent, the algorithm then conducts a chaotic traversal search. …”

Pseudo-code of ABC algorithm. by Jianpeng Zhang (528185)

“…In the neighborhood intervals where the nectar sources are firmly connected and relatively independent, the algorithm then conducts a chaotic traversal search. …”

Autocorrelation functions <i>C</i>(<i>r</i>, <i>t</i>) as functions of the rescaled distance <i>r</i>/<i>R</i>(<i>t</i>) for several time points, where <i>R</i>(<i>t</i>) is determ... by Marc Durand (556746)

WGCNA and machine learning algorithms. by Shushu Wang (6870191)

One iteration of the NSGA-II algorithm. by Erick Axel Padilla-García (16839233)

Convergence curve of each test function. by Tianrui Zhang (2294542)

“…Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.…”

Mean and covariance estimation of functional data streams by Mingxue Quan (13282368)

The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)