Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator

2018 ◽  
Vol 31 (10) ◽  
pp. 5729-5749 ◽  
Author(s):  
Hirad Assimi ◽  
Ali Jamali ◽  
Nader Nariman-zadeh
Keyword(s):  
Topology Optimization ◽  
Genetic Programming ◽  
Truss Structures ◽  
Multi Objective ◽  
And Topology

Sizing and topology optimization of truss structures using genetic programming

2017 ◽  
Vol 37 ◽  
pp. 90-103 ◽  
Author(s):  
Hirad Assimi ◽  
Ali Jamali ◽  
Nader Nariman-zadeh
Keyword(s):  
Topology Optimization ◽  
Genetic Programming ◽  
Truss Structures ◽  
And Topology

scholarly journals Size, shape, and topology optimization of planar and space trusses using mutation-based improved metaheuristics

2017 ◽  
Vol 5 (2) ◽  
pp. 198-214 ◽  
Author(s):  
Ghanshyam G. Tejani ◽  
Vimal J. Savsani ◽  
Vivek K. Patel ◽  
Poonam V. Savsani
Keyword(s):  
Topology Optimization ◽  
Optimization Problems ◽  
Search Space ◽  
Truss Structures ◽  
Benchmark Problems ◽  
Truss Topology Optimization ◽  
Random Mutation ◽  
Shape And Topology Optimization ◽  
And Topology ◽  
Space Trusses

Abstract In this study, simultaneous size, shape, and topology optimization of planar and space trusses are investigated. Moreover, the trusses are subjected to constraints for element stresses, nodal displacements, and kinematic stability conditions. Truss Topology Optimization (TTO) removes the superfluous elements and nodes from the ground structure. In this method, the difficulties arise due to unacceptable and singular topologies; therefore, the Grubler's criterion and the positive definiteness are used to handle such issue. Moreover, the TTO is challenging due to its search space, which is implicit, non-convex, non-linear, and often leading to divergence. Therefore, mutation-based metaheuristics are proposed to investigate them. This study compares the performance of four improved metaheuristics (viz. Improved Teaching–Learning-Based Optimization (ITLBO), Improved Heat Transfer Search (IHTS), Improved Water Wave Optimization (IWWO), and Improved Passing Vehicle Search (IPVS)) and four basic metaheuristics (viz. TLBO, HTS, WWO, and PVS) in order to solve structural optimization problems. Highlights Improvements in four recently designed metaheuristics. Use of random mutation-based search technique. Applications on challenging/benchmark problems of simultaneous size, shape, and topology optimization of truss structures. Improvements effective over basic metaheuristics.

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