Homogeneous redundancy optimization in multi-state series-parallel systems: A heuristic approach
Homogeneous redundancy optimization in multi-state series-parallel systems: A heuristic approach
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DOI：
10.1080/07408170600743920
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发表时间：
2007-02
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影响因子：
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通讯作者：
M. Agarwal;Rashika Gupta
中科院分区：
文献类型：
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作者：
M. Agarwal;Rashika Gupta
本文提出了一种串并联系统的启发式算法，该算法表现为多状态行为，最小化成本以提供期望的可靠性水平。将系统可靠性定义为满足用户需求的能力，并将其表示为分段累积负荷曲线。这些组件是二进制的，从市场上可用的产品列表中选择，并根据其进料能力、可靠性和成本进行表征。该解决方案方法利用组件的同构集合来提供子系统中的冗余。该算法被应用于满足不同可靠性水平要求的电力系统。与现有的遗传算法和启发式算法相比，该启发式算法提供了直接的分析，并且在解质量和计算时间方面都是有效的。因此，改进的启发式算法很有吸引力，并且可以轻松有效地应用于许多现实生活中的系统。
This paper presents a heuristic for a series-parallel system, exhibiting a multi-state behavior, minimizing the cost in order to provide a desired level of reliability. System reliability is defined as the ability to satisfy consumer demands which is presented as a piecewise cumulative load curve. The components are binary and chosen from a list of products available on the market, and are characterized in terms of their feeding capacity, reliability and cost. The solution approach makes use of a homogeneous collection of components to provide redundancy in a subsystem. The algorithm is applied to power systems found in the literature for various levels of reliability requirement. The heuristic offers a straightforward analysis and is efficient both in terms of solution quality and computational time, as compared to existing genetic algorithms and heuristics. Thus, the developed heuristic is attractive, and it can be easily and efficiently applied to numerous real-life systems.