Gillespie algorithm simulation parameters. حسب Nicholas H. Vitale (20469289)

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Data fitting and inference of the time-dependent parameters by TDINN algorithm for multiple waves of COVID-19 infection in Liaoning province. حسب Mengqi He (5753525)

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The optimal contact/quarantine rates from the family of functions (4) and (5) for Hainan and Xinjiang. حسب Mengqi He (5753525)

الموضوعات:

The optimal contact/quarantine rates from the family of functions (4) and (5) for Xi’an, Guangzhou and Yangzhou. حسب Mengqi He (5753525)

الموضوعات:

Data fitting and inference of the time-dependent parameters by TDINN algorithm for the local outbreaks in Hainan and Xinjiang. حسب Mengqi He (5753525)

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Results of searching performance of the improved NAG algorithm on Rosenbrock function, Ackley function, and Rastrigin function. حسب Rui Zhang (13940)

Results of searching performance of different algorithm models on the Rosenbrock function, Ackley function, and Rastrigin function. حسب Rui Zhang (13940)

Results of searching performance of different algorithm models on the Sphere function and Griewank function. حسب Rui Zhang (13940)

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. حسب Rui Zhang (13940)

Data fitting and inference of the time-dependent parameters by TDINN algorithm for the local outbreaks in Xi’an, Guangzhou, and Yangzhou. حسب Mengqi He (5753525)

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The optimization results of each algorithm for the 8 benchmark functions. حسب Guangwei Liu (181992)

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Flowchart of the algorithm. حسب Xiaowen Zhang (83669)

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The optimization results of each algorithm for the CEC2019 benchmark functions. حسب Guangwei Liu (181992)

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Image of the ReLU function. حسب Mengqi Yuan (4852555)

Scheduling time of five algorithms. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

The averages of the objective function and computational time in solving the large-sized problems by metaheuristic algorithms. حسب Seyed Jafar Sajadi (12213268)

"…<p>The averages of the objective function and computational time in solving the large-sized problems by metaheuristic algorithms.…"

Time complexity of each ERA function. حسب Noel Farrugia (15322540)

EALM algorithm. حسب Weibo Wang (782424)

Iterative convergence curves of each algorithm for the CEC2019 benchmark functions. حسب Guangwei Liu (181992)

الموضوعات:

Parameter definitions and estimation for functions <i>c</i>_<i>i</i>(<i>t</i>) and <i>q</i>_<i>i</i>(<i>t</i>) (i = 1,2,3). حسب Mengqi He (5753525)

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