Advancing truss structure optimization—A multi-objective weighted average algorithm with enhanced convergence and diversity
Marwadi University · Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology · +6 more institutions
Abstract
• Presents MOWAA, a novel algorithm designed for enhanced convergence and diversity in truss structure optimization. • Demonstrates superior performance of MOWAA compared to NSGA-II, MOEA/D, MOLCA, MOEDO, and MORIME across various benchmark truss structures. • Balances exploration and exploitation through adaptive strategies, resulting in high-quality Pareto fronts with increased coverage of objective space. • Empirical results indicate MOWAA's capability to effectively handle complex, multi-objective truss problems, achieving better hypervolume, IGD, and spacing metrics. • Validated across eight diverse truss structures, MOWAA exhibits robustness in both simple and complex configurations, establishing it as a…
Citation impact
- FWCI
- 33.35
- Percentile
- 100%
- References
- 26
Authors
7Topics & keywords
- Truss
- Convergence (economics)
- Diversity (politics)
- Mathematical optimization
- Algorithm
- Optimization algorithm
- Computer science
- Mathematics
- Reduced inequalities