IEEE

Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection

Abstract: Many real-world optimization problems are characterized by multiple conflicting objectives, which are known as multi-objective optimization problems (MOPs). In the last two decades, ...
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

Solving Multi-objective Optimization Problems Via Selective Inheritance Meta-Reinforcement Learning

Abstract: An increasing number of machine learning algorithms are being applied to multi-objective optimization problems (MOPs), yielding promising results. However, many of these algorithms suffer ...
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 ...