Shopping Carts — optimized with #DeepLearning, Genetic Algorithms, and GPUs
The problem — when multiple vendors (each with multiple warehouses!) can fulfill the same item, what combination of vendirs/warehouses minimizes the total cost of the shopping cart- inclusive of price, shipping, and commissions. And remember, the more items in the cart, the more expensive the search, but the greater the savings too. The solution — • Genetic algorithms for searching • #MachineLearning to find optimal algorithms • CUDA to run these algorithms Read on for the fascinating details — in particular, how AI/ML looks like it will rejuvenate genetic algos, the intersection of monster search spaces and complex iterative feedback systems seem to be a natural fit. (°) Mind you, the ability to naturally parallelize the process doesn’t hurt (°) Just one example — should the GPU be used? Choosing the best algorithm for the task is unfortunately not as simple as “if cart = small then do CPUFS elif cart = big then do GPUFS elif cart = huge then do GPUGA.” ...