z-logo
Premium
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.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom