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

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NC statistics versus total clients over 50 runs per scenario using the MVO algorithm with various approaches. by Le Huu Binh (18340233)

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Membership functions for the output variable. by Shayesteh Tabatabaei (12280016)

The block diagram of the ASO algorithm implementation for inverse modeling. by Ahmad Al-Talabi (21387479)

Truth table for self-dual function. by Sonal Arvind Barge (20454967)

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Types of training algorithms. by Caixia Yan (6647072)

Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20... by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Proposed algorithm. by Keenjhar Ayoob (22339616)

CPU usage of benchmark function: (a) CPU Usage during the Execution of Benchmark Functions F21-F30, (b) CPU Usage during the Execution of Benchmark Functions F31-F40 and (c) CPU Us... by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Iteration curve of benchmark function: (a) Convergence curves of the average best fitness for functions F21-F30, (b) Convergence curves of the average best fitness for functions F3... by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Machine learning analysis of 10 hub genes related to SCI was performed using eight algorithms applied to the dataset. by Tianbao Feng (21722233)

Flowchart for the Tabu Search Algorithm [43]. by Ferhat Yuna (21519851)

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The pseudocode for the NAFPSO algorithm. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …”

PSO algorithm flowchart. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …”

Results on the comparison of evolutionary and greedy algorithms with exact solution. by Alexander Andreev (16822333)

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Algorithm comparison experiment on the RSOD dataset. by Pingping Yan (462509)

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Water consumption due to average value and fuzzy logic algorithm. by Gourab Saha (8987405)

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

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

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Flowchart of DQN algorithm. by Jiandong Qiu (20389944)