Title
Hierarchical multiobjective analysis for large-scale systems: reviews and current status
Abstract
Large-scale systems are often characterized by hierarchical structure, and they usually have multiple objectives that are noncommensurable. Two well-known approaches to the analysis of systems—hierarchical system theory and multiobjective optimization—have been developed to deal with these two aspects of large-scale systems. The past decade has seen an increasing concern with the integration of these two approaches into a unified framework for large-scale systems, leading to the emergence of a new field known as hierarchical multiobjective analysis. This paper provides a systematic review of the literature associated with the modeling and optimization of large-scale systems, focusing on research based on the hierarchical multiobjective approach, the overlapping decomposition approach, and the multimodel approach. A large number of recently published papers that fall within these areas are reviewed.
Year
DOI
Venue
1988
10.1016/0005-1098(88)90007-6
Automatica
Keywords
Field
DocType
hierarchical multiobjective analysis,current status,large-scale system
Mathematical optimization,Industrial engineering,Artificial intelligence,Mathematics
Journal
Volume
Issue
ISSN
24
1
0005-1098
Citations 
PageRank 
References 
13
2.72
7
Authors
2
Name
Order
Citations
PageRank
Yacov Y. Haimes132863.79
Duan Li25612.31