In this paper, an improved grey Wolf optimization algorithm based on inverse triangular power index inertia weight(ITGWO) is proposed to solve the problem of slow convergence and low accuracy of gray Wolf optimization algorithm(GWO).By constructing the inverse trigonometric power index function, the inertial weight is adjusted nonlinearly, and the solving precision and convergence speed of the algorithm are improved. Seven classical test functions are used to compare ITGWO with other 5 swarm intelligence algorithms. The experimental results show that ITGWO is superior to the other 5 algorithms in convergence speed and solving accuracy, which shows that ITGWO has stronger optimization ability for solving complex optimization problems.
Improved Grey Wolf Optimization Algorithm Based on Inertia Weights of Inverse Triangular Exponents
11.10.2023
3256688 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
An Improved Dual Grey Wolf Optimization Algorithm for Unit Commitment Problem
Springer Verlag | 2017
|Automated guided vehicle path planning based on an improved grey wolf optimization algorithm
British Library Conference Proceedings | 2022
|Europäisches Patentamt | 2024
|