复合压力容器的多准则设计

Q4 Business, Management and Accounting International Journal of Multicriteria Decision Making Pub Date : 2014-09-16 DOI:10.1504/IJMCDM.2014.064801
R. Statnikov, S. Gavriushin, M. Dang, A. Statnikov
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引用次数: 13

摘要

复合材料压力容器的设计具有多个相互矛盾的性能标准,如封头缠绕、尺寸、体积和重量等。这类问题的表述和解决需要寻求折衷的解决方案,同时考虑多种标准。因此,单标准方法一般不适用。针对复合材料压力容器的设计问题,提出了一种寻找可行解和帕累托最优解的多准则方法。该方法基于参数空间调查(PSI)方法。在多准则优化与向量识别(MOVI)软件系统中实现了PSI方法。利用上述工具,本文为复合材料压力容器多准则设计问题的表述和求解提供了一个数值实例。
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Multicriteria design of composite pressure vessels
Design of composite pressure vessels is characterised by multiple contradictory performance criteria, such as winding on the heads, dimension, volume, and weight. Statement and solution of such problems requires search for compromise solutions and consideration of multiple criteria simultaneously. Therefore, single-criterion approaches are generally not applicable. The paper presents a multicriteria methodology for search for feasible and Pareto optimal solutions for the design of composite pressure vessels. The methodology is based on the parameter space investigation (PSI) method. The PSI method is implemented in the multicriteria optimisation and vector identification (MOVI) software system. Using the above tools, this work provides a numerical example of statement and solution of the problem of multicriteria design of composite pressure vessels.
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来源期刊
International Journal of Multicriteria Decision Making
International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management
CiteScore
0.70
自引率
0.00%
发文量
9
期刊介绍: IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields
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