Optional pipe diameter and unit price of HN. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

The topology of HN. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

Information of nodes and pipes of HN. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

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

“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. The effectiveness of the proposed method is then verified on both the physical work cell for riveting and welding and its digital twin platform, and it is compared with other baseline multi-agent reinforcement learning methods (MAPPO, MADDPG, and MASAC). …”

Flowchart of step() function. by Raed Alharthi (18340157)

Parameter settings for metaheuristic algorithms. by Junhao Wei (6816803)

Subjects:

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”

Parameters of the proposed algorithm. by Heba Askr (15572851)

Subjects:

Flowchart of MOSRS algorithm. by Vahid Goodarzimehr (21343124)

“…<div><p>Multi-objective optimization stands at the intersection of mathematics, engineering, and decision-making, and metaheuristics offer a promising avenue for tackling such challenges. The literature shows they are the best, and there is space for new algorithms to deliver Pareto Fronts (PFs) with more convergence and coverage at lower computational costs. …”

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

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Results of each algorithm. by Guilin Yang (583364)

“…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …”

The results of Friedman and Kruskal-Wallis tests for DEGH and its variants with different <i>CR</i> values. by Xuxu Zhong (10099054)

Subjects:

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

The results of Wilcoxon’s rank-sum test between DEGH and its variants with different <i>F</i> values. by Xuxu Zhong (10099054)

Subjects:

Flowchart of improved FOX optimization algorithm. by Mahmood A. Jumaah (22272371)

Subjects:

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

Subjects:

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

Subjects:

Compare algorithm parameter settings. by Qingwen Meng (156386)

Subjects:

We recorded the distribution function of the one-step prediction time for CLPREM and its comparative models, as well as a curve graph showing the multiple of the comparative model’... by Xiaorui Wu (8322705)

-value on 23 benchmark functions (dim = 30). by Yuqi Xiong (12343771)

Subjects: