Showing results for Performance Comparison of Particle Swarm Optimization Variant Models.
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Jun 2, 2014 · In this work, an extensively comparative study is conducted to demonstrate the performance of Particle Swarm Optimization (PSO) variants ...
In this work, an extensively comparative study is conducted to demonstrate the performance of Particle Swarm Optimization (PSO) variants based on five ...
To compare the performance of the five PSO variants, we have applied the following well-known benchmark functions, which are commonly used in the ...
Particle's velocity, a significant parameter of PSO algorithm, is the step size of swarm in every iteration. With all time step, the particles alter their ...
In this paper, three different variants of the canonical particle swarm optimization (PSO) algorithm are compared in terms of their optimal solutions to ...
The performances of PSO and DE were compared along with those from current practices. The results showed that PSO and DE clearly outperformed the actual routing ...
Oct 22, 2024 · In this paper, three different variants of the canonical particle swarm optimization (PSO) algorithm are compared in terms of their optimal ...
Oct 29, 2012 · benchmark functions are used to compare the different PSO variants. We have a total of four different classes for the benchmark functions: ...
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Although PSO variants were again much fever than DE-based ones, from the paper it seemed that PSO methods are inferior to DE algorithms, with exception of the ...
In this paper, we will see the different variants of PSO with respect to initialization, inertia weight and mutation operators.
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