Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Convergence curves of multimodal functions <i>f</i>₇. by Yu Li (183836)

Convergence curves of unimodal functions <i>f</i>₂. by Yu Li (183836)

Convergence curves of unimodal functions <i>f</i>₂. by Yu Li (183836)

Convergence curves of multimodal functions <i>f</i>₇. by Yu Li (183836)

Supervised Machine Learning Algorithms for Predicting Rate Constants of Ozone Reaction with Micropollutants by Yajuan Shi (5575703)

“…In this work, several supervised machine learning (ML) algorithms, including multiple linear regression (MLR), support vector machine with radial basis function kernels (SVM-RBF), decision tree (DT), random forest (RF), and deep neutral network (DNN) methods, were used to develop quantitative structure–property relationship (QSPR) models for the estimation of log <i>k</i>_O3. …”

Reward function related parameters. by Honglei Pang (22693724)

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Hypothetical example illustrating how the <i>search</i>.<i>conv</i> function algorithm works. by Silvia Castiglione (5010581)

Pseudocode of the BBAC_I Algorithm. by Zezhi Lin (22521663)

CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

“…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”

CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

“…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”

CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

“…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by Samin Aref (4683934)

“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…”

Optimal scheduling model of microgrid based on improved dung beetle optimization algorithm by Yu Gao (69071)

“…First, a multiobjective optimal scheduling model of the microgrid is constructed and a typical daily output scenario generation method for wind power generation and photovoltaic power generation is constructed based on the Gaussian kernel density estimation, Frank-copula and K-means clustering algorithms. Second, to address the shortcomings of the DBO algorithm, the spiral position update strategy, adaptive weight factor, levy flight strategy and <i>t</i>-distribution variation strategy are introduced on the basis of the DBO algorithm, which effectively solves the problem of premature convergence of particles owing to falling into a local optimum. …”

Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

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Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

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Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

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Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

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Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

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