A New Particle Swarm Optimization Algorithm with Adaptive Mutation Operator

2009 ◽  
Author(s):  
Yuelin Gao ◽  
Yuhong Duan
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Adaptive Mutation ◽  
Mutation Operator ◽  
Swarm Optimization

The Shortest Path Optimization Based on Mutation Particle Swarm Optimization Algorithm

2014 ◽  
Vol 1049-1050 ◽  
pp. 1690-1693 ◽  
Author(s):  
Juan Li
Keyword(s):  
Particle Swarm Optimization ◽  
Shortest Path ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Optimization Problems ◽  
Particle Swarm ◽  
Path Optimization ◽  
Adaptive Mutation ◽  
Swarm Optimization ◽  
Mutation Strategy

The traditional evolutionary algorithm is cannot converge faster to solve the path optimization problems, and the path that is computed is not the shortest path, in allusion to the disadvantage of this algorithm, a mutation particle swarm optimization algorithm is proposed. The algorithm introduces the adaptive mutation strategy, and accelerated the speed to search for the global optimal solution. For seven examples experiment in standard database, the result shows that the algorithm is more efficient..

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