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|Title: ||STUDY ON THE NEW VARIANT OF PARTICLE SWARM METHOD FOR OPTIMIZATION DESIGN|
|Authors: ||Jinn-Tong Chiu;Chih-Chung Fang|
|Keywords: ||particle swarm optimization;spring;optimization|
|Issue Date: ||2017-02-16T03:49:06Z
|Publisher: ||Journal of Marine Science and Technology|
|Abstract: ||ABSTRACT:A new variant of Particle Swarm Optimization (PSO) is developed
to improve the performance of PSO, which has been
widely used in various fields for optimization. The proposed
PSO incorporates a space partitioning technique in grid method
with PSO. In the searching process of the new algorithm, three
position vectors are introduced to enhance the exploration of
the particles in the population of PSO and hence helpful for a
global optimization problem of interest.
First, the proposed variant of PSO is verified by applying it
to the seven benchmark functions and thereafter proved from
the results as a robust one. Next, we applied the algorithm to the
optimization design of the M-type spring used in the 3C equipments.
With the maximum stress as the objective function of
the designing product and the thrust as the constraint, we
obtain from the computation the designing parameter set of the
spring, which gives the designing spring a more uniform stress
distribution and a reduction of the maximum stress by around
9.2% helpful to increase the lifetime of the initiated product.
|Appears in Collections:||[系統工程暨造船學系] 期刊論文|
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