Objective function values of different algorithms on individual problem instances. حسب Panfei Li (22379086)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

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Algorithm parameters. حسب Nicolas Herzig (9230425)

Two-dimensional multimodal functions. حسب Yu-Jun Zhang (185411)

الموضوعات:

Multi-dimensional multimodal functions. حسب Yu-Jun Zhang (185411)

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Iteration curves of the algorithms in the Three-bar Truss design problem. حسب Junhao Wei (6816803)

Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF حسب Minhua Guo (18392646)

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data حسب Jean-Christophe Lachance (6619307)

"…BOFdat has a modular implementation that divides the BOF definition process into three independent modules defined here as steps: 1) the coefficients for major macromolecules are calculated, 2) coenzymes and inorganic ions are identified and their stoichiometric coefficients estimated, 3) the remaining species-specific metabolic biomass precursors are algorithmically extracted in an unbiased way from experimental data. …"

Output results based on three algorithms. حسب Yiqiong Gao (16698968)

Characteristics of the learning algorithms and activation functions employed in the MLP 2-3-2-5 model. حسب Anna Badura (4495546)

"…<p>Characteristics of the learning algorithms and activation functions employed in the MLP 2-3-2-5 model.…"

Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. حسب Gursimran Singh (575288)

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The probability density function for cost function g(X). حسب Matheus Sant’Ana Lima (9937809)

Performance profile of the four algorithms based on the function value of iteration number. حسب Sulaiman M. Ibrahim (20614376)

Results of multimodal two-dimensional function. حسب Yu-Jun Zhang (185411)

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Results of CEC2014 benchmark function. حسب Yu-Jun Zhang (185411)

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Multi-peak multidimensional function results. حسب Yu-Jun Zhang (185411)

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Unimodal function results, dimension = 30. حسب Yu-Jun Zhang (185411)

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Convergence curves of 27 benchmark functions. حسب Yu-Jun Zhang (185411)

الموضوعات:

Definitions of global parameters used for constructing random ecosystems. حسب Robert Marsland (8616483)

mAP comparison of three kinds of industrial equipment detection by ROMS R-CNN algorithm with different structures and functions. حسب Junpeng Wu (12368780)

"…<p>mAP comparison of three kinds of industrial equipment detection by ROMS R-CNN algorithm with different structures and functions.…"