Applying Parallel and Distributed Models on Bio-Inspired Algorithms via a Clustering Method

Applying Parallel and Distributed Models on Bio-Inspired Algorithms via a Clustering Method

In the world of optimization, especially concerning metaheuristics, solving complex problems represented by applying big data and constraint instances can be difficult. This is mainly due to the difficulty of implementing efficient solutions that can solve complex optimization problems in adequate t...

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Bibliographic Details
Main Authors: Álvaro Gómez-Rubio, Ricardo Soto, Broderick Crawford, Adrián Jaramillo, David Mancilla, Carlos Castro, Rodrigo Olivares
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
distributed metaheuristics
parallel metaheuristic
big data clustering
optimization problems
Online Access:https://www.mdpi.com/2227-7390/10/2/274

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