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![: Integrated crossover rules in real coded genetic algorithms [An article from: European Journal of Operational Research]](http://ecx.images-amazon.com/images/I/51G4P0G7AGL._SL160_.jpg) Availability: Available for download now
Format: HTML Label: Elsevier Manufacturer: Elsevier Publication Date: January 01, 2007 Publisher: Elsevier Studio: Elsevier Browse for similar items by category: Click to Display Editorial Review: Product Description: This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2007. 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. Description: Modifications in crossover rules and localization of searches are suggested to the real coded genetic algorithms for continuous global optimization. Central to our modifications is the integration of different crossover rules within the genetic algorithm. Numerical experiments using a set of 50 test problems indicate that the resulting algorithms are considerably better than the previous version considered and offer a reasonable alternative to many currently available global optimization algorithms, especially for problems requiring 'direct search type' methods. 
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