EurekAlert!

Application of multi-objective optimization based on Sobol sensitivity analysis in solar single-double-effect LiBr−H2O absorption refrigeration

To improve the adaptability of solar refrigeration systems to different heat sources, a single-double-effect LiBr-H2O ...
EurekAlert!

Dynamic decision-making of UAV swarm based on constrained multi-objective optimization under incomplete interference information

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of ...
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 ...
IEEE

A Multi-objective Topology Optimization Methodology and its Application to an Electromagnetic Actuator Prototype

Abstract: In this paper, a multi-objective topology optimization methodology which incorporates a novel hybrid multi-objective optimization (MOO) algorithm with a material-field series expansion (MFSE ...
GitHub

Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems

Mobility-on-demand platforms, such as ride-hailing services, have become critical urban transportation infrastructures. They address unbalanced demand and supply by continuously executing ...
GitHub

Evolutionary Multi-task Optimization with Adaptive Knowledge Transfer

The following software environments are required. The code is only tested on linux OS. If you want to run on other OS, some equivalent environments should be set ...