Adaptive Hybrid Flower Pollination Algorithm Based on Crossover Operator
WANG Hai
ZHAO Qihui
LIU Sheng
Abstract：To solve the problems of basic flower pollination algorithm easily falling into local optimum and the low computa?tional accuracy,presenting adaptive flower pollination algorithm based on crossover operator,which means designing adaptive weight and crossover operator for global pollination and local pollination. Six standard functions are tested,and the results show that MFPA is better than basic flower pollination algorithm and SFFPA.
Keywords：flower pollination algorithmadaptive weightcrossover operatorfunction optimization
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1069-1073 )