Title
Topology optimization of truss subjected to static and dynamic constraints by integrating simulated annealing into passing vehicle search algorithms
Abstract
Three modified versions of passing vehicle search (PVS) are proposed and tested on truss topology optimization with static and dynamic constraints. PVS works on the mechanism of passing a vehicle on a two-lane highway. The heuristic nature of PVS allows the search to jump into non-visited regions (exploration) and also permits a local search of visited regions (exploitation). First, the original PVS algorithm is improved to avoid a local optima trap using a novel parallel run mechanism. Then, population diversity is improved by incorporating the selection of simulated annealing. The various versions of PVS are verified on the truss design problems. Comparative results show that the parallel run concept improves the original PVS algorithm. The selection using the Boltzmann probability as used in simulated annealing further improves the algorithm.
Year
DOI
Venue
2019
10.1007/s00366-018-0612-8
Engineering With Computers
Keywords
Field
DocType
Modified algorithm, Parallel computing, Metaheuristic, Structural optimization, Static and dynamic constraints, Buckling, Frequency
Simulated annealing,Mathematical optimization,Truss,Heuristic,Local optimum,Algorithm,Topology optimization,Local search (optimization),Jump,Mathematics,Metaheuristic
Journal
Volume
Issue
ISSN
35.0
2
1435-5663
Citations 
PageRank 
References 
3
0.38
14
Authors
5
Name
Order
Citations
PageRank
Ghanshyam G. Tejani1876.27
Vimal Savsani21005.10
Sujin Bureerat36411.36
Vivek Patel4432.59
Poonam Savsani5391.99