Abstract: In this paper, a multi-objective capacity optimization allocation strategy for hybrid energy storage microgrids applicable to 5G base stations in remote areas is proposed. The strategy ...

Abstract: Multi-objective evolutionary algorithms (MOEAs) have achieved notable success in recommendation systems (RSs) by meeting diverse user needs. However, existing MOEAs lack effective methods to ...

steps/ // callable scripts for data preprocessing verl/ // source code of models, algorithms, data structures, metrics, etc. examples/ // bash scripts to run jobs data/ // pre-processed data used in ...

This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...

In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

The core objective of GEO (Generative Engine Optimization) is to ensure that brand information is prioritized in responses from generative AIs such as ChatGPT and Wenxin Yiyan through structured ...

This paper proposes an exact method to solve an integer indefinite quadratic bilevel problem with multiple objectives at the upper level, where the objective functions at both levels are a product of ...

Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic ...

PlayStation 5 exclusive Ghost of Yotei has a day-one patch that adds a number of important features to the game. Sony has ...