A Modified Gravitational Search Algorithm for Function Optimization

A Modified Gravitational Search Algorithm for Function Optimization

Gravitational search algorithm (GSA) is a population-based heuristic algorithm, which is inspired by Newton’s laws of gravity and motion. Although GSA provides a good performance in solving optimization problems, it has a disadvantage of premature convergence. In this paper, the concept o...

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Bibliographic Details
Main Authors: Shoushuai He, Lei Zhu, Lei Wang, Lu Yu, Changhua Yao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Gravitational search algorithm
repulsive force
exponential <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Kbest</italic>
function optimization
Online Access:https://ieeexplore.ieee.org/document/8598929/

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https://ieeexplore.ieee.org/document/8598929/

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