NDLI: Game theory and possibilistic logic to face the space mission preliminary design optimization: a coevolutive architecture with a semicooperative protocol

Content Provider	IEEE Xplore Digital Library
Author	Lavagna, M. Mafficini, A.
Copyright Year	2005
Description	Author affiliation: Dip. Ingegneria Aerospaziale, Politecnico di Milano, Milan (Lavagna, M.; Mafficini, A.)
Abstract	The paper presents a possible approach for supporting the preliminary space system design in the very early phases. The proposed method generates the inputs for the so-called pre-phase. A feasibility study, the engineers' team works on to define a preliminary space system solution. Space missions, particularly focusing on interplanetary exploration, are fast growing in complexity: several modules can be involved in the same mission such as multiple orbiters, entry modules, landers/rovers, ascending vehicles, and, eventually, human transportation units; missions can be split into more different phases, according to particular operative modes of each module; mission objectives and requirements can be definitely ambitious and demanding. Such various scenario identifies a hyperspace in which a rough mission configuration must be selected to begin the quantitative space system design. However, at the very beginning of the mission design, the qualitative mission objectives and related possible requirements only are available as inputs. The proposed tool, starting from those generic and qualitative mission objectives, not only generates all possible high level architectures, but, thanks to a co-evolutive multi-objective optimization algorithm, sorts the final Pareto solutions, according to a predefined metric. No system sizing is accomplished; that is why the criteria vector is, here, represented by a set of indexes specifically and robustly modeled thanks to the possibilistic logic theory, the statistical approach and the fuzzy logic theory. A co-evolutive approach has been selected because of the extended dimension of the criteria vector. In particular, the game theory is applied with a two-player architecture with a semi-cooperative protocol to manage the systematic information exchange and the population selection to be carried on in the optimization process. Comparisons with the classical non-cooperative and fully cooperative protocols show the validity of the proposed negotiation strategy to converge to the Pareto front for the whole set of variables and cost functions. The co-evolutive algorithm showed very good performance according to the classical test functions available in literature
Starting Page	999
Ending Page	1004
File Size	251469
Page Count	6
File Format	PDF
ISBN	0780390474
DOI	10.1109/AIM.2005.1511140
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Game theory Logic design Space missions Design optimization Protocols Fuzzy logic Automotive engineering Space vehicles Humans Transportation
Content Type	Text
Resource Type	Article

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