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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 

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Volumes > Volume 5 > No. 5-2S

 
   

Particle Swarm Optimizer with Time-Varying Parameters based on a Novel Operator

PP: 33S-38S
Author(s)
R. Cheng, M. Yao,
Abstract
This paper proposes a time-varying particle swarm optimizer based on our earlier work which introduces a novel operator (leap operator). Two new parameters are recommended in leap operator to prevent premature convergence. With these two parameters, a new modification named LPSO is constructed. Since the values of the 2 parameters are not easy to determine, in this paper, they are modified as time-varying ones. With the time-varying parameters, the modified particle swarm optimizer (TVLPSO) has good potential in finding better solutions. Compared with standard PSO and LPSO, benchmark tests are implemented.

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