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

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

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

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

Optimized model size of crossing frame. حسب Jian Yang (12136)

"…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …"

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. حسب Dinh K. Tang (20469082)

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

Simulation of dense parameter pairs and optimal model output. حسب Yen-Ju Chen (354876)

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

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

Optimization of seat allocation with fixed prices: An application of railway revenue management in China حسب Wuyang Yuan (5635121)

"…To evaluate the performance of seat-based control, we build a Discrete-Time Markov Chain model to describe the ticket reservation process and then design a genetic algorithm to find approximate solutions. …"

mAP@0.5 line charts for different models. حسب Meiling Shi (13148944)

Model selection by BO based on RCV(nv) from the simulated data with different noise levels. حسب László Zimányi (2649973)

Gray variance product line chart. حسب Qianwei Deng (19353264)

The Pseudo-Code of the IRBMO Algorithm. حسب 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. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

Parameter settings of the comparison algorithms. حسب Ying Li (38224)

"…<div><p>Feature selection is an important solution for dealing with high-dimensional data in the fields of machine learning and data mining. In this paper, we present an improved mountain gazelle optimizer (IMGO) based on the newly proposed mountain gazelle optimizer (MGO) and design a binary version of IMGO (BIMGO) to solve the feature selection problem for medical data. …"

DataSheet1_Stochastic and Iterative Based Optimization for Enhancing Dynamic Performance of Interconnected Power System With Hybrid Energy Storage.docx حسب Niveditha Sivadanam (12328148)

Parameter information of each element. حسب Jian Yang (12136)

"…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …"

Working condition arrangement. حسب Jian Yang (12136)

"…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …"

Buckling analysis results. حسب Jian Yang (12136)

"…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …"