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insight - Decomposition-Based Evolutionary Multi-Objective Optimization
A Comprehensive Data-Driven Survey of Decomposition-Based Evolutionary Multi-Objective Optimization
This paper presents a comprehensive data-driven survey of the research landscape on decomposition-based evolutionary multi-objective optimization, particularly multi-objective evolutionary algorithm based on decomposition (MOEA/D), leveraging advanced data mining techniques to uncover prominent research topics, trends, collaborations, and citations.
A Comprehensive Survey of Decomposition-Based Evolutionary Multi-Objective Optimization Algorithms: Past Developments and Future Directions
This survey provides a comprehensive overview of the development of decomposition-based evolutionary multi-objective optimization (EMO) algorithms, with a focus on the multi-objective evolutionary algorithm based on decomposition (MOEA/D) as the representative approach.
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