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

“…<p>Performance profile of the four algorithms based on the function value of iteration number.…”

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

“…<p>The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.…”

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

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EELD problem solving process based on IALO algorithm. by Wenjing Wang (181404)

Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems by Dongge Lei (6836915)

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Benchmark functions. by Peiwen Zhang (1863202)

Summary of classical and CEC-based benchmark test functions used in this study. by Mahmood A. Jumaah (22272371)

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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)

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Box plots of different algorithms on CEC2017 test function. by Tengfei Ma (597633)

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If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

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Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

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The target gravitational function and the repulsion function are added. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Test function evolution curve. by Minan Tang (20389941)

CEC2017 basic functions. by Tengfei Ma (597633)

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Detail of benchmark functions comparison. by Jalal- ud-Din (21474307)

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The effect of each parameter on the target functions. by Shangyang Jin (21772466)

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CEC2017 test function images and iteration curves of different algorithms. by Tengfei Ma (597633)

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Circulatory system-based optimization algorithm with dynamic penalty function for optimum design of large-scale water distribution networks by Veli Batmaz (20800175)

“…To address this challenge, a novel method called circulatory system-based optimization (CSBO) is proposed, which minimizes the need for algorithm-specific parameters and achieves optimal designs across WDNs of various scale. …”

Flowchart of step() function. by Raed Alharthi (18340157)

The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)