Comparative Review of Multi-Objective Optimization Algorithms for Design and Safety Optimization in Electric Vehicles

Despite the widespread use of established optimization algorithms like Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), Non-Dominated Sorting Genetic Algorithm-III (NSGA-III), and Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) in real-world engineering optimization probl...

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Bibliographic Details
Published in:IEEE Access
Main Authors: I Gede S. S. Dharma, Rachman Setiawan
Format: Article
Language:English
Published: IEEE 2024-01-01
Subjects:
Multi-objective optimization algorithm
battery electric vehicle (BEV) safety
crashworthiness
thermal management
Online Access:https://ieeexplore.ieee.org/document/10706236/

Internet

https://ieeexplore.ieee.org/document/10706236/

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