IEEE

Multi-Objective Genetic Programming Assisted Stochastic Deep Reinforcement Learning for Dynamic Knowledge Integration in Transportation Networks

Abstract: Transportation Networks (TNs) play a critical role in economic and social systems, yet the dynamic nature and inherent heterogeneity of TN data pose challenges for Dynamic Knowledge ...
Frontiers

The Multi-Objective Optimization of Residential Building Glass in Summer-Hot and Winter-Cold Regions Using Genetic Algorithms: Energy Consumption, Carbon Emissions, and Health ...

1 College of Art and Design, Wuhan Textile University, Wuhan, China 2 College of Chemistry and Chemical Engineering, Wuhan Textile University, Wuhan, China The final, formatted version of the article ...
IEEE

MORA-LLM: Enhancing Multi-Objective Optimization Recommendation Algorithm by Integrating Large Language Models

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 ...