Choosing the right algorithm for Python optimization has seen recent advancements, particularly in machine learning and deep learning domains. Techniques such as neural architecture search (NAS ...

Enhanced revenue and strategy through data-driven insights. Performed exploratory data analysis, and utilizing Recency, Frequency, and Monetary (RFM) analysis, followed by the application of K-Means ...

This is the optimization ... sophisticated algorithm using brute force. The algorithm precomputes all possible best prices given the number of days left and the number of tickets left accross all ...

FLYR’s AI-based Revenue Optimization solution combines all available historical and ongoing data with deep learning algorithms to determine the optimal pricing and distribution strategy.

In this paper, a new calibrated revenue optimization model is developed with Multi-Objective Bat Algorithm (MOBA) for hydro power plants. This model can be used to increase the revenue generated by ...