Illustration of linear prediction model. by Qingyang Zhang (626047)

Flowchart of whale flock optimization algorithm. by Rongxin Gong (18864603)

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Flowchart of chaos light optimization model based on MOGA. by Jian Kong (164512)

Optimized model fitting results. by Rongxin Gong (18864603)

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Convergence curve of CPO optimization algorithm for carbon market. by Yaoyang Yi (21627403)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

Deviations from the optimal SINR versus the SNR value. by Lin Chang (785086)

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Deviations from the optimal SINR versus the SNR value. by Lin Chang (785086)

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Deviations from the optimal SINR versus the SNR value. by Lin Chang (785086)

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A MATHEMATICAL OPTIMIZATION APPROACH BASED ON LINEARIZED MIP MODELS FOR SOLVING FACILITY LAYOUT PROBLEMS by Evelyn Michelle Henrique Braga (13117440)

“…Then, a mathematical optimization approach based on the linearization of the models is applied. …”

Flowchart of hybrid optimization. by T. Anuradha Devi (18554708)

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Hybrid optimization parameters. by T. Anuradha Devi (18554708)

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A spatial plot of optimal solution for parametrized base case. by Ryu B. Lippmann (14797597)

Output groupings of the 3 algorithms for a linear degradation chain of <i>N</i> = 3 metabolites. by Yuanchen Zhao (12905580)

Efficient estimation of generalized linear latent variable models by Jenni Niku (6655583)

“…To fill this gap, we show in this paper how to obtain computationally convenient estimation algorithms based on a combination of either the Laplace approximation method or variational approximation method, and automatic optimization techniques implemented in R software. …”

Description of model parameters and assumed values based on expert elicitation and estimates. by Ryu B. Lippmann (14797597)

Proposed model parameter and specification. by T. Anuradha Devi (18554708)

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Hyperparameter optimization results. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”