Fitness function parameters. by Ankita Sharma (3183054)

Flow chart of multi objective optimization algorithm based on NSGA-II. by Wangang Cai (14599879)

Subjects:

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

ANOVA was performed to test the differences between the algorithms for each indicator. by Jihui Hu (19812736)

Subjects:

Comparison of functions. by Shufen Niu (4423717)

Performance comparison chart of the different DSM algorithms. by Manoj Kumar V. (18196645)

Subjects:

Iteration curves of different algorithms. by Tengfei Ma (597633)

Subjects:

Flowchart of OP-ZOA algorithm. by Tengfei Ma (597633)

Subjects:

Calculation results of commonly used machine learning algorithm models. by Qianhui He (13522729)

Unimodal benchmark functions (F1 to F7). by El-Sayed M. El-kenawy (14581088)

Convergence rate of the proposed algorithm update. by Pingxin Wang (16747662)

CEC2017 Summary Analysis of Optimal Function Parameters. by Tengfei Ma (597633)

Subjects:

Algorithm flowchart. by Wang Xiang (5435141)

Subjects:

Transparent transfer function precomputed rendering diagram. by Yuliang Yuan (4478698)

Subjects:

Skin transfer function ankle render diagram. by Yuliang Yuan (4478698)

Subjects:

Bone transfer function pelvis render diagram. by Yuliang Yuan (4478698)

Subjects:

Block diagram of the proposed algorithm for estimation of stationary moving average processes. by Martin Dodek (20623832)

Subjects:

Observations that influence the accuracy of the algorithm. by Rabnawaz Khan (6509084)

Test function information. by Chuang Zhang (2199421)

“…A levy flight strategy further improves the algorithm’s ability to jump out of local minima. In this paper, 12 benchmark test functions and 8 other newer swarm intelligence algorithms are compared in terms of convergence speed and convergence accuracy to evaluate the performance of the MSIPOA algorithm. …”

The proposed spherical registration algorithm between macaque and human hemisphere. by Haewon Nam (4102705)

“…<p>For each iteration of the proposed algorithm, curvature, sulcus depth, myelination, node degree, and six group principal components based on functional connectivity matrix were generated and used in the demons registration.…”