复杂工程系统的成本优化与可靠性参数提取

IF 0.9 Q3 STATISTICS & PROBABILITY
Anuj Kumar, Sangeeta Pant, M. Ram
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引用次数: 1

摘要

如今,各种能源系统的转型是联合国新发展议程中与能源可持续世界有关的专门可持续发展目标的核心目标。全球不同的核监管机构制定了技术规范(TS),以确保各种高度挥发性和复杂的核电站(NPGP)的人类和环境安全。TS定义了许多与安全和可持续性相关的措施和限制,全世界所有NPGP都必须遵守这些措施和限制。与NPGP相关的可靠性、可用性和成本构成了TS设置的重要基础。在这项工作中,基于杜鹃搜索算法(CSA)、灰狼优化算法(GWO)、混合PSO-GWO算法(HPSOGWO)等最近的元启发式算法,提出了一个框架,用于核电站安全系统(NPGPSS)的复杂工程系统的成本优化和可靠性参数提取。一种名为加权和法(WSM)的多准则决策(MCDM)方法也已被用于基于可用的有益和非有益准则对可用的元启发式算法进行优先级排序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cost Optimization and Reliability Parameter Extraction of a Complex Engineering System
Nowadays, the transformation of the various energy system is the core objective of the dedicated sustainable development goal related to energy sustainable world within the new United Nations development agenda. Different nuclear regulatory authorities around the globe, sets Technical Specifications (TSs) for ensuring the human and environmental safety of various highly volatile and complex Nuclear Power Generation Plants (NPGPs). TSs define numerous measures and limitations related to safety and sustainability that must be followed by all NPGPs around the world. Reliability, availability and cost components associated with a NPGPs form important bases for the setting of TSs. In this work, a framework based on few recent metaheuristics like Cuckoo Search Algorithm (CSA), Grey Wolf Optimizer (GWO), Hybrid PSO GWO algorithm (HPSOGWO) has been presented for cost optimization and reliability parameter extraction of a complex engineering system named Heat Removal System (HRS) of a nuclear power generation plant safety system (NPGPSS). A multi-criteria decision-making (MCDM) method named Weighted-Sum Method (WSM) has also been employed for prioritizing the available metaheuristics based on available beneficial and non-beneficial criteria’s.
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来源期刊
CiteScore
1.60
自引率
12.50%
发文量
24
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