Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

Solid lines present trend curves for normalized rolling algorithmic complexity and dashed lines depict the average rolling algorithmic complexity as a function of experimental conditions. by Mikołaj Biesaga (17816940)

The PS of ten comparative algorithms on the MMF14a Test Function. by Wenxing Wu (16853002)

“…<p>The PS of ten comparative algorithms on the MMF14a Test Function.</p>…”

Benchmarking functions. by Guilin Yang (583364)

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Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

Multimodal test functions. by HaoCheng Wang (6089567)

Unimodal test functions. by HaoCheng Wang (6089567)

Algorithm parameters. by Guilin Yang (583364)

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Time complexity of each ERA function. by Noel Farrugia (15322540)

Fixed multimodal test functions. by HaoCheng Wang (6089567)

Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”

Improved Ant Colony Algorithm by AOBEI ZHANG (17657703)

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Algorithm pseudocode. by Cheng-jie Chen (22272090)

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Boxplot of fitness in various algorithms. by Wei Liu (20030)

“…The results show: (1) the global convergence probability of SGWO was 1, and its process was a finite homogeneous Markov chain with an absorption state; (2) SGWO not only has better optimization performance when solving complex functions of different dimensions, but also when applied to Elman for parameter optimization, SGWO can significantly optimize the network structure and SGWO-Elman has accurate prediction performance.…”

CEC2019 benchmark functions. by Guangwei Liu (181992)

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DMTD algorithm. by Yunhu Huang (21402795)

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Function convergence curve. by Guilin Yang (583364)

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Results of each algorithm. by Guilin Yang (583364)

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The benchmark functions. by Shuhui Yu (1535500)