Pairwise comparison models and weights of criteria adopted in crop suitability analysis. حسب Ahmed S. Abuzaid (5088119)

Matlab code of a function used in S2 File. حسب Hiroko Kato Solvang (5718250)

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... حسب Hassan Mehboob (8960273)

Algorithm parameter settings. حسب Tao Dong (15551)

"…The results revealed that the improved multi-objective differential evolution algorithm in Zitzler-Deb-Thiele 1 function test had generational distance of 0.0513, inverted generational distance of 0.3265, and hyper volume metric of 0.1301. …"

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

الموضوعات:

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

الموضوعات:

Values of the objective function and its non-normalized terms , obtained by using different weights in the optimization process. حسب Roberto Castro-Medina (21484990)

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

الموضوعات:

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.…"

Search algorithm performance comparison. حسب Zhaohui Du (414105)

Completion times for different algorithms. حسب Jianbin Zheng (587000)

"…Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …"

The average cumulative reward of algorithms. حسب Jianbin Zheng (587000)

"…Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …"

Results in the performance of the objective function terms obtained by the MbPBO methodology using PSO with respect to the initial parameters in Table 2. حسب Roberto Castro-Medina (21484990)

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. حسب Gursimran Singh (575288)

الموضوعات:

Simulation settings of rMAPPO algorithm. حسب Jianbin Zheng (587000)

"…Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …"

Cost functions implemented in Neuroptimus. حسب Máté Mohácsi (20469514)

Main parameters of braking system. حسب Honglei Pang (22693724)

الموضوعات:

Simulation Results Plot of the SBW System Response: (a) Step response curve of the SBW system; (b) Sine response curve of the SBW system; (c) Steady state error curve of the SBW sy... حسب Honglei Pang (22693724)

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EMB and SBW system structure. حسب Honglei Pang (22693724)

الموضوعات:

Raw data. حسب Honglei Pang (22693724)

الموضوعات: