Complex traffic line and track point diagram. by Mingkang Sun (6498791)

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

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”

Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”

Display of the bilateral BRT line in Jinan. by Rongrong Guo (1847989)

“…The cost includes the agency operating and user travel. The optimal design model is formulated as a mixed-integer program and solved using a fuzzy analytic hierarchy process (FAHP) and a genetic algorithm (GA). …”

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

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”

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

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”

Poisson GAMs using MCEM (solid line) and a naïve model (dashed line) fitted to the air pollution data recorded in Milan, Italy 1980–1989. by Jakub Stoklosa (3315042)

DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx by Ying Sun (23237)

“…Genetic algorithm translates the optimization process of ladle refractory lining into natural evolution and selection. …”

Reconstructed PSNR vs decomposition number of algorithm OMP and algorithm NSGA-III-OMP. by Li WANG (7551848)

Robustness of the optimization process in a real dataset. by Neta Ravid Tannenbaum (2940351)

“…It can be seen that the optimization algorithm which is used in this work to fit the iCVS model is affected by the supplied start points. …”

Table1_Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.DOCX by Åsmund Flobak (789984)

Processed Dataset for “Optimization of Mixed-Model Multi-Manned Assembly Lines for Fuel–Electric Vehicle Co-Production under Workstation Sharing” by Lingling Hu (22555691)

“…<p dir="ltr">This dataset contains the anonymized and processed production data used in the study titled “Optimization of Mixed-Model Multi-Manned Assembly Lines for Fuel–Electric Vehicle Co-Production under Workstation Sharing,” submitted to <i>World Electric Vehicle Journal (WEVJ)</i>.…”

Inspection of Line Defects in Transition Metal Dichalcogenides Using a Microscopic Hyperspectral Imaging Technique by Xiangmin Hu (1612399)

Processed Dataset for “Modeling and Optimization of a Mixed-Model Two-Sided Assembly Line Balancing Problem Considering a Workstation-Sharing Mechanism” by Lingling Hu (22555691)

“…<p dir="ltr">This dataset contains the anonymized and processed production data used in the study titled “Modeling and Optimization of a Mixed-Model Two-Sided Assembly Line Balancing Problem Considering a Workstation-Sharing Mechanism,” submitted to <i>Applied Sciences</i>.…”

The process of optimizing RPGA by Q-Learning. by Yicheng Liu (2179626)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This in-house algorithm will be helpful for obtaining more accurate NRTL parameters in a timely manner and will facilitate the simulation of biochemical processes for process optimization, energy consumption estimation, and life cycle assessment.…”

Algorithm parameter settings. by Panfei Li (22379086)

“…To address its high-dimensional complexity, we propose an Enhanced Benders Decomposition (EBD) framework that decomposes CALBP-TS into a workload-balancing master problem (MP) addressing worker-process assignment and task-splitting using a rigorous linearization theorem and a feasibility-checking subproblem (SP) handling spatio-temporal constraints via dummy process encoding. …”

Integrated algorithmic framework. by Panfei Li (22379086)

“…To address its high-dimensional complexity, we propose an Enhanced Benders Decomposition (EBD) framework that decomposes CALBP-TS into a workload-balancing master problem (MP) addressing worker-process assignment and task-splitting using a rigorous linearization theorem and a feasibility-checking subproblem (SP) handling spatio-temporal constraints via dummy process encoding. …”

Swarm intelligence algorithms for multi-objective IMP by Francisco Muñoz (9455441)

The pseudo code of HIP algorithm. by Panfei Li (22379086)

“…To address its high-dimensional complexity, we propose an Enhanced Benders Decomposition (EBD) framework that decomposes CALBP-TS into a workload-balancing master problem (MP) addressing worker-process assignment and task-splitting using a rigorous linearization theorem and a feasibility-checking subproblem (SP) handling spatio-temporal constraints via dummy process encoding. …”