Abstract: This paper introduces a new constraint handling technique for multi-objective evolutionary algorithms based on adaptive penalty functions and distance measures of an individual. These two ...

Abstract: This paper proposes a novel multi-objective grey wolf optimizer based on decomposition and adaptive constraint scaling (D-ACSMOGWO) to address the shortcomings of existing algorithms in ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Real Results: 3.67× smaller models, 2.48× faster inference, 96.6% accuracy retained ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Researchers have developed a novel multi-constraint optimization method that significantly improves the efficiency of reinforcement learning in complex environments. This new algorithm, called ...

1 China Railway 22nd Bureau Group Real Estate Development Co., Ltd., Beijing, China 2 School of Civil Engineering, North China University of Technology, Beijing, China Balancing the relationship ...