Parameters in algorithms. by Chao Li (145513)

“…Compared with the train operation plan based on manual experience and compiled by stages, the integrated optimization model can better improve the quality of train operation plan.…”

<i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

Homomorphic binary tree. by Jianhua He (341366)

Game-relationship-based Remanufacturing Scheduling Model with Sequence-dependent Setup Times Using Improved Discrete Particle Swarm Algorithm by Anonymous Authors (for blind review purpose) (11523120)

Comparison of line planning results. by Chao Li (145513)

“…Compared with the train operation plan based on manual experience and compiled by stages, the integrated optimization model can better improve the quality of train operation plan.…”

Dose distributions of optimized plans. by Hojin Kim (462672)

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. by Benjamin Gallois (10131683)

Algorithm verification. by Dmitrii Smirnov (8822324)

Test-set Kappa for CNN with and without optimization. by Javier León (162217)

Test-set Kappa for RNN with and without optimization. by Javier León (162217)

Test-set Kappa for FFNN with and without optimization. by Javier León (162217)

Test-set Kappa for RNN with and without optimization. by Javier León (162217)

Energy-time behavior for the three optimized networks. by Javier León (162217)

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

“…The percentage mean absolute residuals of the activity coefficients obtained using DEA, NMM, and the parameter estimation tool in Aspen Plus were in the ranges of 0.05–16.69, 0.05–16.69, and 0.09–326.77%, respectively. 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.…”

The losses of the training process before and after the optimization of loss function. by Peihan Wen (6324315)

Comparison of presented algorithm precision to Bot et al. by Dmitrii Smirnov (8822324)

PSO algorithms flowchart. by Mohammed F. Elnaggar (18297954)

Analysis and design of algorithms for the manufacturing process of integrated circuits by Sonia Fleytas (16856403)

“…Additionally, the results obtained from our new ILP model indicate that our genetic algorithm results are very close to the optimal values.…”

Recovery qualities of individual groups under increasing intra-group heterogeneity and inter-group promiscuity of species. by Yuanchen Zhao (12905580)

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