If you’re a water resources student in Amarillo, you know the struggle: Texas watersheds often have incomplete streamflow ...

Initial capabilities enhance creation of affiliate offers and optimize them for peak performance in real time ...

May-June 2026 This month’s Supply Chain Management Review explores what “Supply Chain 2.0” really looks like in practice and ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Sign up for the daily CJR newsletter. Objectivity hasn’t always been a cornerstone of journalism. American publishers first turned to objectivity in the early ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...

Abstract: Most existing dynamic multiobjective evolutionary algorithms assume that the real objective function evaluations are easily acquired during the optimization process. However, in some ...

Abstract: Transforming a constrained optimization problem (COP) into a multi/many-objective optimization problem (MOP/MaOP) represents a practical approach for solving COPs. This article introduces an ...

The randomness and fluctuation of large-scale distributed photovoltaic (PV) power will affect the stable operation of the distribution network. The energy storage system (ESS) can effectively suppress ...

Large language models (LLMs) have revolutionized a wide range of tasks and applications that were previously reliant on manually crafted machine learning (ML) solutions, streamlining through ...