Genetic Algorithm-Based Optimization of Online Diesel Fuel Upgrading Process for Nuclear Power Emergency

Genetic Algorithm-Based Optimization of Online Diesel Fuel Upgrading Process for Nuclear Power Emergency

To enhance the oxidative stability of aging diesel fuel stored in nuclear power emergency systems, we propose a novel hybrid optimization framework that integrates a Genetic Algorithm (GA), State-Space Network (SSN) modeling, and Computational Fluid Dynamics (CFD) simulation. Unlike previous studies...

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Bibliographic Details
Main Authors: Lanqi Zhang, Hao Li, Fengyi Liu, Xiangnan Chu, Qi Ma, Haotian Ye
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
genetic algorithm
CFD simulation
aged diesel
online upgrading
optimization
state-space network
Online Access:https://www.mdpi.com/2076-3417/15/12/6782
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