Xi’an metro line 2 disruption stations. by Yicheng Liu (2179626)

“…A case study of a bidirectional disruption during the 08:00–10:00 on the section of Xi’an Metro Line 2 demonstrates that: (1) The proposed model exhibits stronger robustness under demand uncertainty, achieving a reduction of 3 dispatched vehicles and a cost saving of 9,439 RMB by moderately increasing passenger costs by 850 RMB and extending bridging time; (2) The RPGA algorithm outperforms Non-dominated Sorting Genetic Algorithm II (NSGA-II), Reinforcement Learning-based NSGA-II (RLNSGA-II), and Multi-objective Particle Swarm Optimization Algorithm (MOPSO) in hypervolume (HV), generational distance (GD), and non-dominated ratio (NDR); (3) Increasing the rated passenger capacity within a certain range can reduce average passenger delays but correspondingly raises transportation costs. …”

Topological map of planning area. by Sixia Fan (18309305)

“…To address high site selection costs from unbalanced fast-slow charging ratios and multi-party cost allocation issues, we propose a four-objective optimization model based on a three-party cost game (suppliers, users, power grid). …”

Steps of PBX Crossover. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Steps of PBX Crossover. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Results of Small-Scale Cases. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

S-Shaped Strategy. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Changes in Punishment Function. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Steps of PBX Crossover. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Results of Medium-Scale Cases. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Data. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Order Batching and Picking Process. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Results of Large-scale Cases. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Comparison of Computational Time Chart. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

The specific process of warehouse operations. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Steps of PBX Crossover. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Steps of PBX Crossover. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Comparison of Order Splitting. by Huiyue Xu (12022388)

“…This approach more effectively balances multiple optimization objectives and validates the effectiveness of the model and algorithm with case studies, while also conducting sensitivity analysis on model parameters. …”

Data Sheet 1_A novel method for power transformer fault diagnosis considering imbalanced data samples.docx by Jun Chen (4238)

“…Hyperparameter tuning is achieved through the Bayesian optimization algorithm to identify the model parameter set that maximizes test set accuracy.…”

Datasheet_YEH.csv by YOUNESS EL HAMZAOUI (19943346)

“…Here are the key aspects:</p><p dir="ltr">Research Objective:</p><p dir="ltr">- To develop and evaluate ANN models for predicting COD removal during the degradation of commercial herbicides (Alazine and Gesaprim)</p><p dir="ltr">- To compare different backpropagation algorithms for training the neural networks</p><p dir="ltr">- To identify the most influential parameters affecting COD removal</p><p><br></p><p dir="ltr">Methodology:</p><p dir="ltr">1. …”

Image 1_Proof of concept of fully automated adaptive workflow for head and neck radiotherapy treatments with a conventional linear accelerator.pdf by Gaia Muti (20601608)

“…Introduction<p>The objective of this study is to evaluate the performance of an automatic workflow for head-and-neck (H&N) radiotherapy using a multi-atlas based auto-contouring software and an a-priori multicriteria plan optimization algorithm and implement an adaptive online approach with CBCT images. …”