Our algorithms process large data sets within a minute. by Manu Aggarwal (15990691)

Comparison of algorithms across metrics in test problems. by Jihui Hu (19812736)

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Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

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

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

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Mutations of the gene expression fold change (FC) over wildtype. by Fangzhou Shen (5140994)

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Algorithm comparison experiment on the NWPU VHR-10 dataset. by Pingping Yan (462509)

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Combining Deep Learning Neural Networks with Genetic Algorithms to Map Nanocluster Configuration Spaces with Quantum Accuracy at Low Computational Cost by Johnathan von der Heyde (16828390)

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The value functions for different set-up costs. by Liying Wang (288626)

“…These expressions are determined using the copula function, and an algorithm is designed to construct the corresponding transition probability matrix. …”

Pictorial representation of isomorphically scaling down spots within a fixed field of view and corresponding imaging configuration. by Nicholas H. Vitale (20469289)

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Algorithm parameter levels. by Peng Yao (448155)

“…As a result, the optimization of port tug scheduling becomes of paramount importance, as it contributes to the heightened efficiency of ship movements, cost savings in port operations, and the promotion of sustainable development within the realm of maritime transportation. …”

Auto-tuning algorithm of the weight factors in the cost function. by Syed Umaid Ali (14486372)

“…<p>Auto-tuning algorithm of the weight factors in the cost function.…”

Iteration curves of each algorithm. by Peng Yao (448155)

“…As a result, the optimization of port tug scheduling becomes of paramount importance, as it contributes to the heightened efficiency of ship movements, cost savings in port operations, and the promotion of sustainable development within the realm of maritime transportation. …”

Fold Change (FC) in protein levels among non-survivors compared to survivors in 40 CERES participants. by Yue Ren (1311615)

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The probability density function for cost function g(X). by Matheus Sant’Ana Lima (9937809)

The obtained cost function values with respect to each run of different algorithms. by Davut Izci (15927452)

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Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

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