Neural and Evolutionary ComputingApproximating Optimization Problems using EAs on Scale-Free NetworksAnkit Chauhan,Tobias Friedrich,Francesco QuinzanComments: 21 pages, 3 figures, 2 tables and Accepted at GECCO’17Subjects:Neural and Evolutionary Computing (cs.NE); Data Structures and Algorithms (cs.DS); Social and Information Networks (cs.SI)It has been experimentally observed that real-world networks follow certaintopological properties, such as small-world, power-law etc. To study thesenetworks, many random graph models, such as Preferential Attachment, have beenproposed.In this paper,
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