Thermoenergetic optimization of a school building: discussion of the performance of four multiobjective evolutionary algorithms by Thalita dos Santos Maciel (12656181)

“…The SPEA2 algorithm showed the best permance, achieving a solution capable of reducing IUE by approximately 92% in heating and 52% in cooling, when compared to the reference case.…”

LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes by Olivier Collier (7444844)

Flowchart of the phase optimization algorithm. by Maxim Terekhov (3429614)

Comparison of different optimization algorithms. by Hang Zhao (143592)

Graphical illustration of the JF algorithm. by Bernd Porr (32394)

Application of the smooth-index to bandwidth-limited matrices (A,B) and to block-diagonal matrices (C,D). by Alexander Borst (32619)

Plots of convergence curves on 4-D, 5-D and 10-D benchmark functions. by Salisu Mohammed (772274)

Schematic view of the overall algorithm. by Betty Wutzl (6945248)

Genetic algorithm meta-parameters. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”

The entity relationship of DDPG algorithm. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”

The recurrent T3D algorithm. by Neythen J. Treloar (8698251)

Algorithm framework in revitalizing HBs. by Kailun Fang (13949729)

Table_1_Mapping the Peds QLTM 4.0 onto CHU-9D: a cross-sectional study in functional dyspepsia population from China.DOCX by Qiqi Wang (557078)

“…Objective<p>The study aims to develop a mapping algorithm from the Pediatric Quality of Life Inventory™ 4. 0 (Peds QL 4.0) onto Child Health Utility 9D (CHU-9D) based on the cross-sectional data of functional dyspepsia (FD) children and adolescents in China.…”

Mapping and confirmation of the <i>arches</i> locus. by McKenna Feltes (11242085)

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Raw data values for ApoBb.1-nanoluciferase luminescence measurements. by McKenna Feltes (11242085)

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Background heterogeneity and sequencing depth improve WheresWalker SNPindex. by McKenna Feltes (11242085)

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Confirmation of the <i>zion</i> locus. by McKenna Feltes (11242085)

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Forward genetic screen identifies 28 dark yolk mutants. by McKenna Feltes (11242085)

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Het^wt distribution for <i>arches</i> WIK 1x28, 3x10, 4x5, and n = 50 datasets. by McKenna Feltes (11242085)

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Summary of WGS datasets. by McKenna Feltes (11242085)

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