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Swarm Intelligence Optimization Algorithm Based on Orthogonal Optimization

Published • Jan 1, 2010
NobleIDNI1P29W71R10S43
Authors:
Yongxian Li
,
Jiazhong Li

Abstract

The shortcomings of existing intelligent optimization algorithms are easy to produce premature convergence, easy to fall into local optimal equilibrium states, and poor efficiency at evolutionary late stage. In order to overcome the above shortcomings, a variety of new strategies and approaches were...

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