Abstract: Striking a balance between objective optimization and constraint satisfaction is essential for solving constrained multi-objective optimization problems (CMOPs). Nevertheless, most existing ...

Abstract: Solving constrained multi-objective optimization problems (CMOPs ... existing constrained multi-objective evolutionary algorithms (CMOEAs) predominantly focus on devising various strategies ...

The SX series incorporates Power-SPICE, a circuit simulation software package that uses advanced multilevel relaxation algorithms to ensure convergence and fast simulations; SPICEngine, a proprietary ...

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function ... models and the optimization genetic algorithm to solve an ...

Corresponding author. Present address: School of IoT and Engineering, Jiangnan University, Wuxi 214122, China.

Postgraduate & Research Division, National Mexican Institute of Technology/Madero Institute of Technology, 89440, Tamaulipas, Mexico ...