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On a cellular division method for topology optimization
Author(s) -
Pedro HugoTiago C.,
Kobayashi Marcelo H.
Publication year - 2011
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.3218
Subject(s) - topology optimization , division (mathematics) , set (abstract data type) , topology (electrical circuits) , computer science , process (computing) , mathematical optimization , genetic algorithm , mathematics , engineering , finite element method , arithmetic , structural engineering , combinatorics , programming language , operating system
This paper concerns a comparative analysis of a novel biologically inspired method for topology optimization. The proposed methodology develops each individual topology according to a set of rules that regulate a ‘cellular division’ process. These rules are then evolved using a genetic algorithm to minimize objective functions while satisfying a set of constraints. The results reported in this work show that the methodology suits engineering design and represents an improvement over existing topology optimization methods based on evolutionary algorithms. Copyright © 2011 John Wiley & Sons, Ltd.