Recall scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

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An example of the movement of a particle in a two-dimensional space based on the PSO algorithm in a single iteration. by Yury Chernyak (2138635)

Run times of two algorithms. by Gourab Saha (8987405)

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Improved NSGA-II algorithm flowchart. by Ying Wang (11406)

“…<div><p>To address the issue of insufficiently comprehensive representation of service composition indexes in the shared manufacturing environment, service reliability, confidence, and other indexes are decomposed in detail to establish a composition evaluation system, and a shared manufacturing service composition optimization model based on bi-level programming is proposed. …”

Convergence curve of each DSM algorithms. by Manoj Kumar V. (18196645)

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DE algorithm flow. by Ling Zhao (111365)

“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”

Working scheme of the smooth-index algorithm. by Alexander Borst (32619)

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Example performance of the smooth-index algorithm. by Alexander Borst (32619)

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Performance of optimization algorithms in six different network types. by Maurits H. W. Oostenbroek (11331123)

Parameters of muti-island genetic algorithm. by Shangyang Jin (21772466)

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Acurracy comparison of CCA and FBCCA algorithms. by Hossein Hamidi Shishavan (19688384)

Performance of the three algorithms. by Juanjuan Lin (2096830)

“…Then, the bilevel programming model is transformed from the deterministic case to the stochastic case, where the upper-level problem determines the restoration sequence to minimize CVaR-R and the lower-level problem is a traffic assignment problem. An integrated framework based on a novel genetic algorithm and the Frank—Wolfe algorithm is designed to solve the stochastic model. …”

Heat maps of mean scores over 50 datasets of the algorithms as a function of relative noise and number of samples. by Yuanchen Zhao (12905580)

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

Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

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Flowchart of a single epoch in the FOX optimization algorithm [10]. by Mahmood A. Jumaah (22272371)

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Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm by Gelio Alves (51850)

“…A major challenge in mass-spectrometry-based metaproteomics is accurately identifying and quantifying biological functions across the full taxonomic lineage of microorganisms. …”

Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)