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

"…The effectiveness of the proposed QOBL-ICA is verified by testing on 20 benchmark functions and 3 engineering design problems. Experimental results show that the performance of QOBL-ICA is superior to most state-of-the-art meta-heuristic algorithms in terms of global optimum reached and convergence speed.…"

Illustration of the unrestricted model and its training algorithm. حسب Yuru Song (21300760)

Benchmark test function results. حسب Ruyi Dong (9038174)

"…From the statistical results of mean, best and variance of different algorithms, the LLSKSO algorithm outperforms the other algorithms. …"

Training algorithm flow. حسب Xing Chen (140292)

"…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …"

Pseudocode of the BBAC_I Algorithm. حسب Zezhi Lin (22521663)

Execution Steps of the EOF Algorithm. حسب Zezhi Lin (22521663)

Algorithm detection steps. حسب José M. Rivera-Arbeláez (12418512)

CEC2017 test function test results. حسب Tengfei Ma (597633)

"…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …"

High-dimensional benchmark test functions. حسب Ruyi Dong (9038174)

"…From the statistical results of mean, best and variance of different algorithms, the LLSKSO algorithm outperforms the other algorithms. …"

Pseudo-code of MWOA algorithm. حسب Yi-Qiang Xia (20161326)

"…<div><p>This paper proposes the Modulated Whale Optimization Algorithm(MWOA), an innovative metaheuristic algorithm derived from the classic WOA and tailored for bionics-inspired optimization. …"

Control parameters of the SOMA algorithm. حسب Quoc Bao Diep (18452207)

"…To optimize this cost function, we employ the self-organizing migrating algorithm, a swarm intelligence algorithm inspired by the cooperative and competitive behaviors observed in natural organisms. …"

Images of partial benchmark functions. حسب ZeSheng Lin (20501356)

"…Finally, a novel Levy flight was implemented to promote the diversity of whale distribution. Results from experiments confirm that the enhanced WOA algorithm outperforms the standard WOA algorithm in terms of both fitness value and convergence speed. …"

Description of unimodal benchmark functions. حسب Yi-Qiang Xia (20161326)

"…<div><p>This paper proposes the Modulated Whale Optimization Algorithm(MWOA), an innovative metaheuristic algorithm derived from the classic WOA and tailored for bionics-inspired optimization. …"

Description of multimodal benchmark functions. حسب Yi-Qiang Xia (20161326)

"…<div><p>This paper proposes the Modulated Whale Optimization Algorithm(MWOA), an innovative metaheuristic algorithm derived from the classic WOA and tailored for bionics-inspired optimization. …"

WGCNA and machine learning algorithms. حسب Shushu Wang (6870191)

AUC scores of anomaly detection algorithms. حسب GaoXiang Zhao (21499525)

"…Empirical evaluations conducted on multiple benchmark datasets demonstrate that the proposed method outperforms classical anomaly detection algorithms while surpassing conventional model averaging techniques based on minimizing standard loss functions. …"

Recall scores of anomaly detection algorithms. حسب GaoXiang Zhao (21499525)

"…Empirical evaluations conducted on multiple benchmark datasets demonstrate that the proposed method outperforms classical anomaly detection algorithms while surpassing conventional model averaging techniques based on minimizing standard loss functions. …"

IEEE CEC 2022 benchmark function specifications. حسب Yang Gao (18005)

IEEE CEC 2017 benchmark function specifications. حسب Yang Gao (18005)

PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset. حسب Gursimran Singh (575288)

الموضوعات: