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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1523

Title: WEIGHT MINIMIZATION OF TRUSS STRUCTURES WITH BIG BANGBIG CRUNCH
Authors: C. Casavola, L. Lamberti
C. I. Pruncu
Keywords: Truss structures
Weight optimization
Big Bang-Big Crunch Optimization
Hybrid algorithms
Issue Date: 18-Oct-2012
Publisher: LUX LIBRIS PUBLISHING HOUSE
Citation: http://scholar.google.ro/
Series/Report no.: COMAT 2012;
Abstract: The Big Bang-Big Crunch(BB-BC)optimization method is a recently developed meta-heuristic algorithm that mimics the process of evolution of the universe. BB-BC has been proven very efficient in design optimization of skeletal structures but yet computationally more expensive than classical meta-heuristic algorithms such as genetic algorithms and simulated annealing. To overcome this limitation, the paper presents a novel hybrid formulation of BB-BC where the meta-heuristic search is hybridized by including gradient/pseudo-gradient information as a criterion to perform new explosions. Each new trial design is formed by combining a set of descent directions and eventually corrected in order to improve it further. The new BB-BC algorithm is successfully tested in two classical weight minimization problems of a spatial 25-bar truss and a planar 200-bar truss. Keywords: Truss structures; Weight optimization; Big Bang-Big Crunch Optimization; Hybrid algorithms.
URI: http://hdl.handle.net/123456789/1523
ISBN: 978-973-131-162-3
Appears in Collections:COMAT 2012

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