The computational results of the case. by Dawei Wang (471687)

Subjects:

Related operating parameters of power supply equipment. by Chengcheng Ding (9013862)

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Obtained controller parameters via different algorithms. by Sarah A. Alzakari (19704611)

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Objective values of both algorithms for m = 5. by Zhenzhong Zhang (806974)

“…The method finds the optimal solution through an improved adaptive large-scale neighborhood search algorithm and uses a scenario generation technique to generate the scenarios required for evaluating candidate solutions to the high-dimensional stochastic optimization problem. …”

Objective values of both algorithms for m = 4. by Zhenzhong Zhang (806974)

“…The method finds the optimal solution through an improved adaptive large-scale neighborhood search algorithm and uses a scenario generation technique to generate the scenarios required for evaluating candidate solutions to the high-dimensional stochastic optimization problem. …”

An illustration of the Deepwalk algorithm operation involves a random walk on the graph, resulting in a “walk” sequence, which is then utilized to construct a graph. by Xiaobing Deng (1622233)

Algorithm parameter settings. by Tao Dong (15551)

“…<div><p>Engineering frequently deals with multi-objective optimization problems. In the scheduling of combined heat and power systems, the competing goals of economic cost and pollutant emission are challenging for conventional single-objective algorithms to handle, necessitating the use of effective multi-objective optimization algorithms. …”

NTT/INTT/PWM operations in MDC4NIP. by Ayesha Waris (21368446)

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NTT/INTT/PWM operations in MDC2NIP. by Ayesha Waris (21368446)

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Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

The flow chart of the IES program solved by the MSAGOOSE algorithm. by Chengcheng Ding (9013862)

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DBO-VMD optimization method parameters. by Xianlin Ren (22783589)

“…<div><p>Motor rolling bearing is a fundamental component of industrial production, and its vibration signal extraction and fault diagnosis are challenging because of the effect of operating characteristics and external noise. This research initially proposes an adaptive variational mode decomposition approach based on dung beetle optimization algorithm to decompose and extract signals. …”

Two-stage optimization process. by Yesong Wang (331723)

Subjects: “…objective evolutionary algorithms…”

Optimal location scheme division. by Sixia Fan (18309305)

“…An improved artificial hummingbird algorithm solves the model. Results show the approach improves economic efficiency, provides valuable reference for EV charging station siting, and demonstrates strong algorithm robustness and generalization.…”

Graph of operation results. by Zhihao Li (359073)

Process diagram for improving Frank Wolfe algorithm. by Anqi Jiang (4583380)

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The search efficiency and path of each calculation algorithm. by Ganbin Xu (21688817)

The optimal deployment plan under different thresholds of traffic fairness indicators. by Anqi Jiang (4583380)

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The optimal localization recall precision (oLRP) of different algorithms on each category of the NWPU VHR-10 dataset. by Guoguang Hua (22305400)

The optimal localization recall precision (oLRP) of different algorithms on each category of the PASCAL VOC2007 dataset. by Guoguang Hua (22305400)