Topology Optimization of Engineering Structures Using Hybrid Metaheuristic Algorithms

Authors

  • Madhu Srivastava Department of Mechanical Engineering, R.D.Engineering College, Duhai, Gaziabad, U.P., India

Keywords:

Topology Optimization, Hybrid Metaheuristics, Genetic Algorithm, Particle Swarm Optimization, Structural Design, Multi-Objective Optimization

Abstract

Topology optimization has proven to be an efficient design approach to identify the best distribution of material over a given design space. But the classical optimizations have challenges for nonlinear multi-objective and large-scale engineering problems. Hybrid metaheuristic algorithms are a solid option because they combine sections of different metaheuristics. Reference document How to do topology optimization with hybrid metaheuristic: methodology, literature review, applications and performance analyse Topology Optimization (TO) is a powerful design tool that performs size/shape/topology optimization of structural systems. It shows that hybrid methods have important features towards making improvement on convergence speed, solution diversification and precision of optimization in the case of complex problems in mechanical engineering design.

References

Deb K. Multi-objective optimization using evolutionary algorithms. Wiley.

Coello CAC. Evolutionary algorithms for solving multi-objective problems. Springer.

Published

2026-04-03

How to Cite

Srivastava, M. . (2026). Topology Optimization of Engineering Structures Using Hybrid Metaheuristic Algorithms. Journal of Advanced Research in Mechanical Engineering and Technology, 13(1&2), 17-24. Retrieved from https://adrjournalshouse.com/index.php/mechanical-engg-technology/article/view/2737