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Recent network design techniques using evolutionary algorithms [An article from: International Journal of Production Economics]

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PublisherElsevier
ISBN / ASINB000RR5YL6
ISBN-13978B000RR5YL7
AvailabilityAvailable for download now
MarketplaceUnited States  🇺🇸

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This digital document is a journal article from International Journal of Production Economics, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

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As social systems based on computer networks are more complicated, the optimization problems in network systems have been drawing the attention of many related researchers. Recently, genetic algorithms (GAs) have achieved a great advancement in related research fields, such as combinatorial optimization, multiobjective optimization, and so on. In this paper, we consider hybrid GAs (called spanning tree-based GAs) for difficult-to-solve network design problems inherent in industrial engineering and computer communication networks, such as degree-constrained minimum spanning tree problems, capacitated minimum spanning tree problems, fixed charge transportation problems, network topological design problems, and so on.
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