KGSA: A Gravitational Search Algorithm for Multimodal Optimization based on K-Means Niching Technique and a Novel Elitism Strategy

KGSA: A Gravitational Search Algorithm for Multimodal Optimization based on K-Means Niching Technique and a Novel Elitism Strategy

Gravitational Search Algorithm (GSA) is a metaheuristic for solving unimodal problems. In this paper, a K-means based GSA (KGSA) for multimodal optimization is proposed. This algorithm incorporates K-means and a new elitism strategy called “loop in loop” into the GSA. First in KGSA, the members of t...

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Bibliographic Details
Main Authors: Golzari Shahram, Zardehsavar Mohammad Nourmohammadi, Mousavi Amin, Saybani Mahmoud Reza, Khalili Abdullah, Shamshirband Shahaboddin
Format: Article
Language:English
Published: De Gruyter 2018-12-01
Series:Open Mathematics
Subjects:
gravitational search algorithm (gsa)
multimodal optimization
k-means
niching methods
Online Access:https://doi.org/10.1515/math-2018-0132

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