On Improving Adaptive Problem Decomposition Using Differential Evolution for Large-Scale Optimization Problems

On Improving Adaptive Problem Decomposition Using Differential Evolution for Large-Scale Optimization Problems

Modern computational mathematics and informatics for Digital Environments deal with the high dimensionality when designing and optimizing models for various real-world phenomena. Large-scale global black-box optimization (LSGO) is still a hard problem for search metaheuristics, including bio-inspire...

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Bibliographic Details
Main Authors: Aleksei Vakhnin, Evgenii Sopov, Eugene Semenkin
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
problem decomposition
large-scale global optimization
self-adaptive differential evolution
memetic algorithm
cooperative co-evolution
Online Access:https://www.mdpi.com/2227-7390/10/22/4297

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https://www.mdpi.com/2227-7390/10/22/4297

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