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motion optimization » codon optimization (Expand Search), rational optimization (Expand Search), reaction optimization (Expand Search)
solid optimization » policy optimization (Expand Search), wolf optimization (Expand Search), acid optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
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Showing 1 - 20 results of 60 for search '(( lines based solid optimization algorithm ) OR ( binary based motion optimization algorithm ))', query time: 0.53s Refine Results
  1. 1
    DE algorithm flow.

    DE algorithm flow. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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  2. 2
    Test results of different algorithms.

    Test results of different algorithms. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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  3. 3
    Performance of optimization algorithms in six different network types.

    Performance of optimization algorithms in six different network types. by Maurits H. W. Oostenbroek (11331123)

    Published 2021
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  4. 4
    Performance of optimization algorithms in an network of education organizations of ± 250 nodes.

    Performance of optimization algorithms in an network of education organizations of ± 250 nodes. by Maurits H. W. Oostenbroek (11331123)

    Published 2021
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  5. 5
    Plan frame of the house.

    Plan frame of the house. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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  6. 6
    Ablation test results.

    Ablation test results. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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  7. 7
    Hyperparameter selection test.

    Hyperparameter selection test. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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  8. 8
    Multiple index test results of different methods.

    Multiple index test results of different methods. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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  9. 9
    Backtracking strategy diagram.

    Backtracking strategy diagram. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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  10. 10
    Comparison of differences in literature methods.

    Comparison of differences in literature methods. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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  11. 11
    New building interior space layout model flow.

    New building interior space layout model flow. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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  12. 12
    Schematic of iteration process of IDE-IIGA.

    Schematic of iteration process of IDE-IIGA. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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  13. 13
    Schematic diagram of IGA chromosome coding.

    Schematic diagram of IGA chromosome coding. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
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  14. 14
    Results from trajectory optimization of walking.

    Results from trajectory optimization of walking. by Antoine Falisse (6061601)

    Published 2019
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  15. 15
    Supplementary file 1_Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field.pdf

    Supplementary file 1_Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field.pdf by Shuangshuang Zhang (701020)

    Published 2025
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  16. 16
    Optimization traces for six datasets and four NMTF optimization methods.

    Optimization traces for six datasets and four NMTF optimization methods. by Andrej Čopar (6824375)

    Published 2019
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  17. 17
    Data_Sheet_1_A Greedy Algorithm-Based Stem Cell LncRNA Signature Identifies a Novel Subgroup of Lung Adenocarcinoma Patients With Poor Prognosis.PDF

    Data_Sheet_1_A Greedy Algorithm-Based Stem Cell LncRNA Signature Identifies a Novel Subgroup of Lung Adenocarcinoma Patients With Poor Prognosis.PDF by Seema Khadirnaikar (9227318)

    Published 2020
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  18. 18
    Data_Sheet_2_A Greedy Algorithm-Based Stem Cell LncRNA Signature Identifies a Novel Subgroup of Lung Adenocarcinoma Patients With Poor Prognosis.xlsx

    Data_Sheet_2_A Greedy Algorithm-Based Stem Cell LncRNA Signature Identifies a Novel Subgroup of Lung Adenocarcinoma Patients With Poor Prognosis.xlsx by Seema Khadirnaikar (9227318)

    Published 2020
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  19. 19
    TB prevalence reduction under population-wide screening algorithms.

    TB prevalence reduction under population-wide screening algorithms. by Alvaro Schwalb (8282517)

    Published 2025
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  20. 20
    The Pareto-optimal fronts on the random network with 10 added edges and its corresponding solutions.

    The Pareto-optimal fronts on the random network with 10 added edges and its corresponding solutions. by Ruochen Zhang (3434996)

    Published 2024
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