A multiobjective evolutionary algorithm for optimizing the small-world property

Small-world effect plays an important role in the field of network science, and optimizing the small-world property has been a focus, which has many applications in computational social science. In the present study, we model the problem of optimizing small-world property as a multiobjective optimiz...

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Veröffentlicht in:	PloS one Jg. 19; H. 12; S. e0313757
Hauptverfasser:	Zhang, Ruochen, Zhu, Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 03.12.2024 Public Library of Science (PLoS)
Schlagworte:	Algorithms Analysis Biology and Life Sciences Cluster Analysis Clustering Community structure Computer and Information Sciences Computer Simulation Ecology and Environmental Sciences Efficiency Evolutionary algorithms Genetic algorithms Humans Information management Interdisciplinary subjects Job hunting Models, Theoretical Multiple objective analysis Optimization Pareto optimization Pareto optimum Physical Sciences Research and Analysis Methods Social networks Social organization Social sciences China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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