Two New Improved Variants of Grey Wolf Optimizer for Unconstrained Optimization

Two New Improved Variants of Grey Wolf Optimizer for Unconstrained Optimization

Grey wolf optimization (GWO) algorithm is a relatively recent and novel optimization approach. GWO showed performance improvement over all competing algorithms. However, the relevant literature identified that the primary GWO due to its position update equation shows superiority in exploitation, but...

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Bibliographic Details
Main Authors: Rashida Adeeb Khanum, Muhammad Asif Jan, Abdulaziz Aldegheishem, Amjad Mehmood, Nabil Alrajeh, Akbar Khanan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Population-based search approaches
evolutionary computation
unconstrained optimization
grey wolf optimization
global search
Minkowski’s formula
Online Access:https://ieeexplore.ieee.org/document/8928579/

Internet

https://ieeexplore.ieee.org/document/8928579/

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