Network structure of perception fusion algorithm. by Weilin Wu (13736)

“…To address these issues, this paper proposes a panoramic driving perception fusion algorithm based on multi-task learning. …”

Comparison of functions. by Shufen Niu (4423717)

Plot from a GAM model in which the survival of smaller cluster has been modeled as a smooth function of the sample size of smaller segment for aggregate data over all levels of cov... by Muhammad Atif (2575789)

Plot from a GAM model in which the survival of smaller cluster has been modeled as a smooth function of the sample size of smaller segment for specific values of the Separation bet... by Muhammad Atif (2575789)

Computing the objective function. by Xiaochen He (455300)

Membership functions. by Tuan Anh Nguyen (121944)

The specific implementation of the BioRS function in the molecular biological aspect. by Alexander V. Spirov (11302085)

Circulatory system-based optimization algorithm with dynamic penalty function for optimum design of large-scale water distribution networks by Veli Batmaz (20800175)

“…To address this challenge, a novel method called circulatory system-based optimization (CSBO) is proposed, which minimizes the need for algorithm-specific parameters and achieves optimal designs across WDNs of various scale. …”

The results of each test function. by Yuhang Wang (332111)

Flowchart of step() function. by Raed Alharthi (18340157)

Standard benchmark functions. by Yanzhao Gu (21192659)

“…The experimental results showed that GWOA achieved better convergence speed and solution accuracy than other algorithms in most test functions, especially in multimodal and compositional optimization problems, with an Overall Efficiency (OE) value of 74.46%. …”

Standard benchmark functions [42]. by Junhao Wei (6816803)

“…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …”

Objective function value statistics. by Chao Li (145513)

Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning by Bernhard Vennemann (7434353)

“…The proposed method was tested in an in-vitro flow loop which allowed simulating a failing aortic valve in a laboratory setting. …”

The GOR4 and SOPMA algorithm findings. by Ahmad Abdullah Mahdeen (19704401)

Width of stripes as a function of time. by Pratik Mullick (12851011)

F4 function and convergence curve graph. by Jiangli Yu (4601986)

F5 function and convergence curve graph. by Jiangli Yu (4601986)

F1 function and convergence curve graph. by Jiangli Yu (4601986)

F6 function and convergence curve graph. by Jiangli Yu (4601986)