The optimization results with single objective. by Tianrui Zhang (2294542)

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Comparison of calculation efficiency. by Tianrui Zhang (2294542)

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Bifurcation diagram of logistic mapping. by Tianrui Zhang (2294542)

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Literature summary. by Tianrui Zhang (2294542)

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Node location distribution of sustainable closed-loop supply chain network. by Tianrui Zhang (2294542)

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Representation of parameter symbol. by Tianrui Zhang (2294542)

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Comparison of calculation time. by Tianrui Zhang (2294542)

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Model parameter sensitivity calculation results. by Tianrui Zhang (2294542)

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Important parameter selection. by Tianrui Zhang (2294542)

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Network parameter setting. by Tianrui Zhang (2294542)

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Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

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Average mean values by algorithms on benchmark functions. by Muhammad Zubair Rehman (11243478)

“…<p>Average mean values by algorithms on benchmark functions.</p>…”

Trade-off solution after constantly transforming the values of A and B when p = 12. by Junjie He (700642)

Subjects: “…coverage attenuation function…”

Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

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Standard benchmark functions. by Yanzhao Gu (21192659)

“…The experimental results showed that GWOA achieved better convergence speed and solution accuracy than other algorithms in most test functions, especially in multimodal and compositional optimization problems, with an Overall Efficiency (OE) value of 74.46%. …”

Parameter values. by Dapeng Wang (250459)

“…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”

Error cost analysis for the lowest cost fit. by Bolaji P. Eniwaye (12915339)

“…Algorithm was repeated until stopping criteria of 100 generations without change in lowest cost function value across the population was met and performed on single network.…”

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

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

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Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)