EITO_E speed distance profile. by Yunhu Huang (21402795)

“…The first algorithm, EITO_E, is based on an expert system containing expert rules and a heuristic expert inference method. …”

Sensitivity analysis of the TV-BayesOpt algorithm with a forgetting (orange line) or a forgetting-periodic (blue line) covariance function for a range of ε values. by John E. Fleming (8533956)

DMTD algorithm. by Yunhu Huang (21402795)

“…The first algorithm, EITO_E, is based on an expert system containing expert rules and a heuristic expert inference method. …”

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

Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction by E. Tejera (7470644)

The number of input edges (denoted by lines) for UniCon-opt (<i>τ</i> = 0) and UniCon-base each round. by Chaeeun Kim (14197299)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”

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)

Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period antic... by John E. Fleming (8533956)

IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”

IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”

Buffer allocation problem in production flow lines: A new Benders-decomposition-based exact solution approach by Mengyi Zhang (7454231)

“…However, despite the problem’s relevance, no exact method is available in the literature to solve it when long production lines are being considered, i.e., in practical settings. …”

Optimization framework. by Nisha Ann Viswan (20371285)

EITO_P with flexible trip time. by Yunhu Huang (21402795)

“…The first algorithm, EITO_E, is based on an expert system containing expert rules and a heuristic expert inference method. …”

Energy consumption in the PPO process. by Yunhu Huang (21402795)

“…The first algorithm, EITO_E, is based on an expert system containing expert rules and a heuristic expert inference method. …”

Speed limits. by Yunhu Huang (21402795)

“…The first algorithm, EITO_E, is based on an expert system containing expert rules and a heuristic expert inference method. …”

Running time in the PPO process. by Yunhu Huang (21402795)

“…The first algorithm, EITO_E, is based on an expert system containing expert rules and a heuristic expert inference method. …”

Speed limits and gradients from RJ to WYJ. by Yunhu Huang (21402795)

“…The first algorithm, EITO_E, is based on an expert system containing expert rules and a heuristic expert inference method. …”

Speed limits and gradient from SJZ to XHM. by Yunhu Huang (21402795)

“…The first algorithm, EITO_E, is based on an expert system containing expert rules and a heuristic expert inference method. …”

Parameters of DKZ32. by Yunhu Huang (21402795)

“…The first algorithm, EITO_E, is based on an expert system containing expert rules and a heuristic expert inference method. …”