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Showing 1 - 20 results of 57 for search '(( binary based spatial optimization algorithm ) OR ( less based path optimization algorithm ))', query time: 0.52s 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
    APL, ACC and ACC /APL of the optimal benchmark networks with different mixing parameter.

    APL, ACC and ACC /APL of the optimal benchmark networks with different mixing parameter. by Ruochen Zhang (3434996)

    Published 2024
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  4. 4
    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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  5. 5
    The Pareto-optimal fronts on the regular network with 10 added edges and its corresponding solutions.

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

    Published 2024
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  6. 6
    APL, ACC and ACC /APL of the optimal networks with different goals and number of added edges.

    APL, ACC and ACC /APL of the optimal networks with different goals and number of added edges. by Ruochen Zhang (3434996)

    Published 2024
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  7. 7
    Percentage of edges added within the same community in the optimal benchmark networks with different mixing parameter and goals.

    Percentage of edges added within the same community in the optimal benchmark networks with different mixing parameter and goals. by Ruochen Zhang (3434996)

    Published 2024
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  8. 8
    Illustration of crossover.

    Illustration of crossover. by Ruochen Zhang (3434996)

    Published 2024
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  9. 9
    The mean value of the maximum ACC for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II.

    The mean value of the maximum ACC for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II. by Ruochen Zhang (3434996)

    Published 2024
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  10. 10
    S1 Dataset -

    S1 Dataset - by Ruochen Zhang (3434996)

    Published 2024
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  11. 11
    The topologies of edging solution with <i>k</i> = 10 on Zachary’s Karate Club network.

    The topologies of edging solution with <i>k</i> = 10 on Zachary’s Karate Club network. by Ruochen Zhang (3434996)

    Published 2024
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  12. 12
    The mean value of the maximum ACC/APL for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II.

    The mean value of the maximum ACC/APL for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II. by Ruochen Zhang (3434996)

    Published 2024
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  13. 13
    Statistical tests of ACC on the random network.

    Statistical tests of ACC on the random network. by Ruochen Zhang (3434996)

    Published 2024
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  14. 14
    Parameters in the experiment.

    Parameters in the experiment. by Ruochen Zhang (3434996)

    Published 2024
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  15. 15
    The mean value of the maximum ACC/APL for each number of added edges <i>k</i> and different crossover probability <i>P</i><sub><i>c</i></sub> for 10 runs acquired by MOEA/D-SW on the regular network.

    The mean value of the maximum ACC/APL for each number of added edges <i>k</i> and different crossover probability <i>P</i><sub><i>c</i></sub> for 10 runs acquired by MOEA/D-SW on t... by Ruochen Zhang (3434996)

    Published 2024
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  16. 16
    Statistical tests of APL on the random network.

    Statistical tests of APL on the random network. by Ruochen Zhang (3434996)

    Published 2024
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  17. 17
    The mean value of the minimum APL for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II.

    The mean value of the minimum APL for each number of added edges <i>k</i> for 10 runs acquired by MOEA/D-SW, MA-SW, GA-SW, GR-SW, NW model, and NSGA-II. by Ruochen Zhang (3434996)

    Published 2024
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  18. 18
    Statistical tests of ACC on the regular network.

    Statistical tests of ACC on the regular network. by Ruochen Zhang (3434996)

    Published 2024
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  19. 19
    Statistical tests of APL on the regular network.

    Statistical tests of APL on the regular network. by Ruochen Zhang (3434996)

    Published 2024
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  20. 20
    Illustration of the representation.

    Illustration of the representation. by Ruochen Zhang (3434996)

    Published 2024
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