Return
Improved multi-objective special relativity search algorithm for applied structural and mechanical problems
DOI:10.1016/j.engstruct.2025.121261.png)
Abstract
En 中文
• A novel Multiobjective SRS algorithm is developed. • A novel feedback mechanism is proposed to enhance the SRS algorithm. • Focus on minimizing structural element weight and nodal point displacement under stress constraints as primary objectives. • Application of hypervolume and spacing metric methods to identify superior non-dominated sets in multiobjective optimization. • The statistical analysis is conducted to distinguish the best algorithm.
Keywords:
Multiobjective optimization
Structural reliability analysis
Non-dominated sets
Hypervolume metric
Spacing metric
Journal
IF:
6.4
Papers:
2.1W
Citations:
8.7W
Organization
Cited Papers
Multiobjective Atomic Orbital Search (MOAOS) for Global and Engineering Design Optimization
IEEE ACCESS
IF3.6
Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems
APPLIED INTELLIGENCE
IF3.5

