A Comparative Study on Evolutionary Algorithms to perform Isogeometric Topology Optimisation of Continuum Structures using Parallel Computing

Abstract

The optimization of computational performance along with the topology optimization of structures is the main focus of this study. The computational performance of the program is enhanced using two search engines in parallel. The search process is done using a least pop size which has reduced the number of computations required to optimize the objective function. The geometry can be exactly represented using isogeometric basis functions where the same basis is used to represent the geometry and calculate the response of the structure. Isogeometric analysis is used to conduct this study along with the metaheuristic swarm intelligence algorithms such as Firefly and Aqua search algorithms. The optimization is performed using evolutionary optimization process and metaheuristics have consistently been in use to optimize the distribution of material within the design domain. Few basic problems are optimized in this study and the results are compared. This study aims to make an attempt to reduce the computational effort and use newer ways to perform the topology optimization of continuum structures.

Keywords: Parallel search engines, parallel computing, meta-heuristics, swarm intelligence, firefly, aqua search, isogeometric analysis, structural optimization, topology

Cite this Article

Sahithi NSS, Chandrasekhar KNV, Muralidhara Rao T. A Comparative Study on Evolutionary Algorithms to Perform Isogeometric Topology Optimization of Continuum Structures using Parallel Computing. Journal of Aerospace Engineering & Technology. 2018; 8(1): 51–58p.