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process optimization » model optimization (Expand Search)
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process optimization » model optimization (Expand Search)
complex optimization » convex optimization (Expand Search), whale optimization (Expand Search), wolf optimization (Expand Search)
basic process » based process (Expand Search), basic protein (Expand Search)
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41
Mean load factor of section.
Published 2023“…Considering the constraints of operation and passenger flow demand, an integer nonlinear programming model is established to minimize the cost of operation and passenger waiting time. The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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42
Train operation plan when <i>z</i>=0.
Published 2023“…Considering the constraints of operation and passenger flow demand, an integer nonlinear programming model is established to minimize the cost of operation and passenger waiting time. The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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43
Minimum turn-back time of turn-back stations.
Published 2023“…Considering the constraints of operation and passenger flow demand, an integer nonlinear programming model is established to minimize the cost of operation and passenger waiting time. The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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44
Maximum allowable number of routes analysis.
Published 2023“…Considering the constraints of operation and passenger flow demand, an integer nonlinear programming model is established to minimize the cost of operation and passenger waiting time. The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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45
Adjustment results of weight factors.
Published 2023“…Considering the constraints of operation and passenger flow demand, an integer nonlinear programming model is established to minimize the cost of operation and passenger waiting time. The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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51
Comparison of three optimization processes.
Published 2024“…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …”
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52
Optimized model size of crossing frame.
Published 2024“…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …”
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53
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56
Parameter information of each element.
Published 2024“…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …”
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57
Working condition arrangement.
Published 2024“…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …”
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58
Buckling analysis results.
Published 2024“…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …”
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59
Wind load parameters of lattice crossing frame.
Published 2024“…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …”
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60
Section checking table.
Published 2024“…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …”