Research data. by Dominique Vincent-Genod (20552594)

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Creation of the evolutionary algorithm search space. by Kaveh Faraji Googerdchi (18778727)

Comparison of the proposed algorithms with classical classifiers. by Kaveh Faraji Googerdchi (18778727)

GenSearch algorithm. by Tarun Khajuria (12117309)

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Raw task performance on both experiments, with respect to conditions. by Anis Najar (9745561)

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

“…Output is given by the vascular response, measured as the change in speed of red blood cells flowing inside a capillary proximal to the recorded neuronal activation (in yellow, right panel). 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). …”

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

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Sensor value scenario for average value algorithm. by Gourab Saha (8987405)

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Filled contour plot based on histograms of the occurence-frequency of binned values of and as a function of . by Paul Kinsler (3975620)

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

The Precision-Recall curve of both the models. by Aastha Vatsyayan (9981916)

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The final population of the optimization algorithm based on the two goals of imbalance accuracy and diversity. by Kaveh Faraji Googerdchi (18778727)

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

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Optimized algorithm framework diagram. by Xutao Liu (13006965)

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Output results based on three algorithms. by Yiqiong Gao (16698968)

“…In this study, a combination of adaptive adjustment based on conversion probability and Gaussian mutation strategy was used to improve the flower pollination algorithm (FPA) and enhance the search ability of traditional flower pollination. …”

Comparison with the BST algorithm for the AF and CST bundles. by Thomas Durantel (20933812)

Subjects: “…orientation distribution function…”

Genetic algorithm meta-parameters. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”

The entity relationship of DDPG algorithm. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”

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

“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”

The details of the test algorithm. by Yule Sun (16015342)

“…To investigate the optimization ability of the DMBBPSO for single-objective optimization problems, The CEC2017 benchmark functions are used in experiments. Five state-of-the-art evolutionary algorithms are used in the control group. …”