HEURISTIC APPROACH FOR HETEROGENEOUS REDUNDANCY OPTIMIZATION IN MULTI-STATE SERIES-PARALLEL SYSTEM
HEURISTIC APPROACH FOR HETEROGENEOUS REDUNDANCY OPTIMIZATION IN MULTI-STATE SERIES-PARALLEL SYSTEM
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DOI：
10.1142/s0218539307002684
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发表时间：
2007-08
期刊：
影响因子：
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通讯作者：
Rashika Gupta;M. Agarwal
中科院分区：
文献类型：
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作者：
Rashika Gupta;M. Agarwal
本文提出了一种具有多状态行为的串并联系统的启发式算法，其目标是最小化成本以提供期望的可靠性水平。系统可靠性被定义为满足用户需求的能力，并以分段累积负荷曲线的形式表示。这些组件是二元的，从市场上可获得的产品列表中选择，其特点是其进料能力，可靠性和成本。解决方案方法利用异构组件集合在子系统中提供冗余。该算法已从文献中应用到电力系统中，以满足不同层次的可靠性要求。该启发式算法比现有的遗传算法（GA）提供了一个简单的分析和效率。考虑到计算效率和观察到的解的质量，提出的启发式是有吸引力的。因此，所开发的启发式方法具有一定的吸引力，可以方便有效地应用于许多现实生活系统。
The paper presents a heuristic for series-parallel system, exhibiting multi-state behavior, with the objective to minimize the cost in order to provide a desired level of reliability. System reliability is defined as the ability to satisfy consumers demand and is presented as a piecewise cumulative load curve. The components are binary and chosen from the list of products available in the market, and are being characterized by their feeding capacity, reliability and cost. The solution approach makes use of heterogeneous collection of components to provide redundancy in a subsystem. The algorithm has been applied to power systems from the literature for various levels of reliability requirement. The heuristic offers a straightforward analysis and efficiency over genetic algorithm (GA) existing in the literature. Keeping in view the computational efficiency and the observed solution quality the proposed heuristic is appealing. As such, the heuristic developed is attractive and can be easily and efficiently applied to numerous real life systems.