Proposed DDMR_i solar cell equivalent circuit. by Ziad M. Ali (12516532)

“…However, finding analytical closed-form solutions for the current-voltage (<i>I</i>-<i>U</i>) dependency in PV_DDM circuits has remained a challenge. …”

Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

“…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …”

Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

“…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …”

Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

“…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …”

Landscapes of payoff differences (<i>P</i>_<i>diff</i>) and Nash equilibrium speed changes (_<i>i</i>) with the non-sensory motor algorithm in the absence of th... by Hiroyuki Ichijo (13891153)

WSN optimized by different algorithms. by Qingwen Meng (156386)

“…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. The ASBOA algorithm was evaluated using the CEC2017 and CEC2022 benchmark test functions and compared with other algorithms (such as PSO, GWO, DBO, and CPO). …”

Compare algorithm parameter settings. by Qingwen Meng (156386)

“…This mechanism ensures that individuals that fail to update have a certain probability of being retained in the next generation population, while guaranteeing that the current global optimal solution remains unchanged, thereby accelerating the algorithm’s convergence. The ASBOA algorithm was evaluated using the CEC2017 and CEC2022 benchmark test functions and compared with other algorithms (such as PSO, GWO, DBO, and CPO). …”

Statistical evaluation of the estimation accuracy of the stationary moving average process by the sample mean <i>μ</i>_(g*−g) and sample variance of the estimate residual... by Martin Dodek (20623832)

Landscapes of payoff differences (<i>P</i>_<i>diff</i>) and Nash equilibrium speed changes (_<i>i</i>) with the sensory–motor algorithm under the small behavior... by Hiroyuki Ichijo (13891153)

Landscapes of payoff differences (<i>P</i>_<i>diff</i>) and Nash equilibrium speed changes (_<i>i</i>) with the sensory–motor algorithm under the large behavior... by Hiroyuki Ichijo (13891153)

Landscapes of payoff differences (<i>P</i>_<i>diff</i>) and Nash equilibrium speed changes (_<i>i</i>) with the sensory–motor algorithm under the middle behavio... by Hiroyuki Ichijo (13891153)

Occurrence probabilities of behavioral switching in multi-agent predator–prey interactions when both <i>D</i>_<i>w</i> and <i>D</i>_<i>s</i> are 2. by Hiroyuki Ichijo (13891153)

Landscapes of payoff differences (<i>P</i>_<i>diff</i>) and Nash equilibrium speed changes (_<i>i</i>) with the non-sensory motor algorithm under the middle beh... by Hiroyuki Ichijo (13891153)

Landscapes of payoff differences (<i>P</i>_<i>diff</i>) and Nash equilibrium speed changes (_<i>i</i>) with the non-sensory motor algorithm under the small beha... by Hiroyuki Ichijo (13891153)

Landscapes of payoff differences (<i>P</i>_<i>diff</i>) and Nash equilibrium speed changes (_<i>i</i>) with the non-sensory motor algorithm under the large beha... by Hiroyuki Ichijo (13891153)

(a-b) The LASSO algorithm was used for hyperparameter tuning and identification of the important predictive features. by Devi Soorya Narayana Sasikumar (22331743)

Subjects:

Patch-level landscape metrics derived using the <i>HabSpace</i> function of <i>HabplanR</i> for the entire 35 three-year projection period, across two possible Habplan solutions. by Max D. Jones (6269006)

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

Loss Function Comparison. by Hongwei Yue (574068)

Loss Function Comparison. by Hongwei Yue (574068)