Finding optimal locations of new store using Decision Optimization

This notebook shows you how Decision Optimization can help to prescribe decisions for a complex constrained problem using CPLEX Modeling for Python to help determine the optimal location for a new store. This notebook requires the Commercial Edition of CPLEX engines, which is included in the Default Python 3.6 XS + DO in Watson Studio.

Apr 25, 2017
Jul 27, 2019
Economy & Business
IBM
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