Application Of The Island-genetic Algorithm To
Optimal Impact Resistance Design Of A RC Slab
Author(s)
A. Miyamoto & H. Emoto
Abstract
When seeking optimal parameters by numerical analysis in performance-based
design, the number of combinations may increase to an extreme level, or
objective functions or restrictions may not be accurately formulated. Then,
genetic algorithms (GAs) are sometimes used. For certain problems, however,
computation takes much time or no effective solutions are obtained even with the
use of GAs. To compensate for such shortcomings, this study examines the
applicability of island genetic algorithm (island-GA), a type of distributed
genetic algorithm, to design problems. Using distributed-GA is expected to lead
to efficient application of grid computing. Then, the time of computation may be
reduced and networks of computers may be used effectively. The effectiveness
of island-GA is verified in optimal impact resistance design for reinforced
concrete slabs as an example of design problem.
1 Introduction
In structural design, the finite element method (FEM) and other numerical
analysis techniques have been used widely and design proposals based on such
analysis methods have been examined on a daily basis. In engineering design,
however, numerous parameters exist and a wide variety of restrictions should be
taken into consideration. Using numerical analysis techniques including the FEM
for checking design proposals therefore involves the handling of a large number
of combinations of design parameters. Then, obtaining solutions within a
practical time frame may be sometimes difficult. One of the effective solutions to
such a problem is genetic algorithm (GA), which simulates the hereditary and
evolutionary processes of species on computers. GA has been applied to
Keywords
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