Hybrid Sine Cosine and Fitness Dependent Optimizer for Global Optimization

Hybrid Sine Cosine and Fitness Dependent Optimizer for Global Optimization

The fitness-dependent optimizer (FDO), a newly proposed swarm intelligent algorithm, is focused on the reproductive mechanism of bee swarming and collective decision-making. To optimize the performance, FDO calculates velocity (pace) differently. FDO calculates weight using the fitness function valu...

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Bibliographic Details
Main Authors: Po Chan Chiu, Ali Selamat, Ondrej Krejcar, King Kuok Kuok
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Fitness dependent optimizer
sine cosine algorithm
missing data
high missing rates
imputation
metaheuristic algorithms
Online Access:https://ieeexplore.ieee.org/document/9530652/

Internet

https://ieeexplore.ieee.org/document/9530652/

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