Reinforcement Learning-Based Hybrid Multi-Objective Optimization Algorithm Design

Reinforcement Learning-Based Hybrid Multi-Objective Optimization Algorithm Design

The multi-objective optimization (MOO) of complex systems remains a challenging task in engineering domains. The methodological approach of applying MOO algorithms to simulation-enabled models has established itself as a standard. Despite increasing in computational power, the effectiveness and effi...

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Bibliographic Details
Main Authors: Herbert Palm, Lorin Arndt
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Information
Subjects:
multi-objective optimization
complex systems
Pareto front
hybrid search algorithms
reinforcement learning
intelligent agent
Online Access:https://www.mdpi.com/2078-2489/14/5/299

Internet

https://www.mdpi.com/2078-2489/14/5/299

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