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Aggregation of Composite Solutions: strategies, models, examples

2011/11/29 by Mark Sh. Levin, Levin, Mark Sh.
Engineering · #68T20 #90C217 #90C59 #Artificial Intelligence (cs.AI) #D.2 #Diverse Scientific and Engineering Research #E.1 #FOS: Computer and information sciences #FOS: Mathematics #H.1.1 #H.4.0 #I.2.8 #Manufacturing Process and Optimization #Optimization and Control (math.OC) #Optimization and Packing Problems #Software Engineering (cs.SE)

paper · pdf · doi:10.48550/arxiv.1111.6983

openalex publication_date 2011/11/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The paper addresses aggregation issues for composite (modular) solutions. A systemic view point is suggested for various aggregation problems. Several solution structures are considered: sets, set morphologies, trees, etc. Mainly, the aggregation approach is targeted to set morphologies. The aggregation problems are based on basic structures as substructure, superstructure, median/consensus, and extended median/consensus. In the last case, preliminary structure is built (e.g., substructure, median/consensus) and addition of solution elements is considered while taking into account profit of the additional elements and total resource constraint. Four aggregation strategies are examined: (i) extension strategy (designing a substructure of initial solutions as "system kernel" and extension of the substructure by additional elements); (ii) compression strategy (designing a superstructure of initial solutions and deletion of some its elements); (iii) combined strategy; and (iv) new design strategy to build a new solution over an extended domain of solution elements. Numerical real-world examples (e.g., telemetry system, communication protocol, student plan, security system, Web-based information system, investment, educational courses) illustrate the suggested aggregation approach.

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