Parameters in algorithms. by Chao Li (145513)

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Comparison of line planning results. by Chao Li (145513)

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The comparison of different optimization models. by Jiefei Zhang (8787494)

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SUNRISE hybrids obtained from 36 maintainer lines (females, rows) crossed to 36 restorer lines (males, columns). by Brigitte Mangin (336874)

A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Anonymous authors (for blind review purpose) (6473313)

“…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …”

Greedy optimization algorithm. by Alexis Bénichou (19832361)

Distribution of line OD passenger flow during the study period. by Chao Li (145513)

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Overall rankings of optimization algorithms. by Máté Mohácsi (20469514)

The normalized acoustic resistance (blue lines) and reactance (red dotted lines) of the optimization case in Fig 7. by Xiaogang Li (299205)

Dimensions of the calculated model. by Dapeng Wang (250459)

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Average running time line graph of different algorithms. by Wuyi Li (2984439)

Optimal schemes for different resource limitations. by Jiefei Zhang (8787494)

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Learning to Optimize Molecular Geometries Using Reinforcement Learning by Kabir Ahuja (10010761)

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Line plots showing performance trends for six evaluation metrics across CNN combined with different bio-inspired optimization algorithms. by Doaa Sami Khafaga (21463870)

TimeGAN instantiated with RNN, solid lines denote function application, dashed lines denote recurrence, and orange lines indicate loss computation. by Xiaorui Wu (8322705)

Number of variables and constraints in the model. by Chao Li (145513)

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Cracked tunnel-strata coupled finite element model. by Dapeng Wang (250459)

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Overall rankings of single-objective optimization algorithms. by Máté Mohácsi (20469514)

Display of the bilateral BRT line in Jinan. by Rongrong Guo (1847989)

“…The cost includes the agency operating and user travel. The optimal design model is formulated as a mixed-integer program and solved using a fuzzy analytic hierarchy process (FAHP) and a genetic algorithm (GA). …”

Line chart of influence propagation results of different algorithms when propagation probability p = 0.01. by Lihong Han (7280045)