Finding optimal locations of new stores using Decision Optimization
Notebook
Decision Optimization
Description

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 latest Python XS + DO environment in Watson Studio.

Details
Publisher
IBM Analytics
Modified
Mar 07, 2024
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