Renewable Energy Optimization Strengthened by Linwei Wu’s Analytical Contributions to Hybrid Geothermal-Biomass Systems

A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization.
Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

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 ...
IEEE

Pareto-Based Bi-Objective Optimization for Multi-Task Assignment in Mobile Social Crowdsensing

Abstract: Mobile Social Crowdsensing (MSCS) represents a new paradigm that enables users to perform tasks and access services through mobile smart devices and social networks. However, current task ...
Frontiers

Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system

1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...
IEEE

Distributed Deep Reinforcement Learning for Ackermann Multi-Robot Formation: A Weighted Multi-Objective Optimization

Abstract: The integration of Internet of Things (IoT) with the multi-robot formation problem has been successfully applied in autonomous vehicles, unmanned aerial vehicles (UAVs), and industrial ...