The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

PSO parameters and objective function. by André G. Coimbra (21354135)

GA parameters and objective function. by André G. Coimbra (21354135)

Comparison of multi-objective optimization algorithms for coal blending under different parameter settings. by Zhongfeng Li (3965060)

Subjects:

State Function-Based Correction: A Simple and Efficient Free-Energy Correction Algorithm for Large-Scale Relative Binding Free-Energy Calculations by Runduo Liu (10756379)

Subjects:

The iterative process of genetic algorithm in the upper-level model. by Zhipeng Huang (1759759)

Subjects:

Number of passengers and generalized cost for OD pair (3,4). by Zhipeng Huang (1759759)

Subjects:

Evaluation function metrics under six lighting scenarios. by Chao Ma (207385)

Subjects:

Flowchart of MOSRS algorithm. by Vahid Goodarzimehr (21343124)

“…The literature shows they are the best, and there is space for new algorithms to deliver Pareto Fronts (PFs) with more convergence and coverage at lower computational costs. …”

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)

Algorithm parameter settings. by Tao Dong (15551)

“…In the scheduling of combined heat and power systems, the competing goals of economic cost and pollutant emission are challenging for conventional single-objective algorithms to handle, necessitating the use of effective multi-objective optimization algorithms. …”

Computational cost of the proposed approach. by Khondokar Oliullah (21553289)

Function image of changes in relevant variables, including capacity boat purchase, operator purchase, operator maintenance, capacity boat maintenance, all operators participating i... by Zixi Wang (459102)

Passenger travel information and generalized cost mean for each OD pair. by Zhipeng Huang (1759759)

Subjects:

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)

“…Whiskers show the lowest and highest values within 1.5 × <i>IQR</i> from the first and third quartiles, respectively. …”

Classification algorithm implemented in SPARTA. by Baptiste Ruiz (20285217)

Comparison of different algorithms. by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

Flowchart of simple ant colony algorithm. by Yang Yu (4292)

“…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. …”

The retailer’s profit at each level is under different unit disposal costs. by Minchao Zheng (20558832)