Multi-strategy Adaptive Symbiotic Organisms Search Algorithm
ZHOU Hu
ZHAO Hui
LI Mudong
CAI Yawei
Abstract：Aimed at the problems that Symbiotic Organisms Search (SOS)algorithm is poor in conver-gence,low in searching precision and ease of premature convergence,a multi-strategy adaptive algorithm is proposed.Firstly,according to the fitness,populations can be divided into three groups,and each group with different strategies can achieve different functions.Secondly,a hybrid search strategy based on adap-tive scaling factor can make its search strategy realization of the adaptive adj ustment.Finally,in order to maintain the population diversity,a mutation is utilized when the individual beyond the boundary.Experi-ments are conducted on the 14 benchmark functions,and the results show that the MSASOS algorithm improves obviously the performance in convergence speed,precision and global optimization.
Keywords：symbiotic organisms search (SOS)multi-strategyadaptive adj ustmentglobal optimization
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 101-106 )