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	Applied Soft Computing ELSEVIER         Options: Date Reviewed Title Author Publisher Published Date Descending Order Ascending Order     1-3 of 3 reviews Date Reviewed     Multi-offspring genetic algorithm and its application to the traveling salesman problem Wang J., Ersoy O., He M., Wang F. Applied Soft Computing 43 415-423, 2016.  Type: Article Genetic algorithms (GAs) are among the most widely used stochastic optimization algorithms. They have been applied to solve many real-life optimization problems belonging to different domains.... Dec 19 2017   Strategic system selection with linguistic preferences and grey information using MCDM Zare Mehrjerdi Y. Applied Soft Computing 18323-337, 2014.  Type: Article Selecting new technologies for business critical processes is always a challenging task. Commonly it involves multi-criteria decision making (MCDM). This research is focused on the case of implementing a radio frequency identification ... Aug 25 2014   Stock index tracking by Pareto efficient genetic algorithm Ni H., Wang Y. Applied Soft Computing 13(12): 4519-4535, 2013.  Type: Article Stock market index tracking is a typical multi-objective optimization problem among conflicting objectives. The authors of this paper introduce a “heuristic searching approach on [the] construction of a tracking portfolio, wh... Mar 12 2014
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