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Reliability optimization using ant colony algorithm under performance and cost constraints

机译：在性能和成本约束下使用蚁群算法进行可靠性优化

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摘要

Reliability engineers often try to achieve a high reliability level of production systems. The problem of electrical network reliability optimization where redundant electrical devices are included is considered. The system reliability maximization subject to performance and cost constraints is well known as reliability optimization problem. In reality, the system has a range of performance levels, in this case a multi-state system (MSS) reliability is defined as the ability to maintain a specified performance level. A procedure, which determines the maximal reliability of series-parallel electrical power system topology is proposed. In this procedure, electrical system devices are chosen among a list of available devices on the market. Electrical devices are characterized by their reliability, performance and cost. To evaluate the systems reliability, a universal moment generating function (UMGF) approach is used by the ant colony algorithm (ACA) to determine the optimal electrical power network topology. A computer program has been developed to implement the UMGF technique combined with the ant colony algorithm. An illustrative example is treated at the end of this work.
机译：可靠性工程师经常尝试达到生产系统的高可靠性水平。考虑了包括冗余电气设备的电网可靠性优化问题。受性能和成本约束的系统可靠性最大化是众所周知的可靠性优化问题。实际上，系统具有一系列性能级别，在这种情况下，多状态系统（MSS）可靠性被定义为维持指定性能级别的能力。提出了确定串联-并联电力系统拓扑的最大可靠性的过程。在此过程中，从市场上可用的设备列表中选择电气系统设备。电气设备的特点是可靠性，性能和成本。为了评估系统的可靠性，蚁群算法（ACA）使用了通用矩生成函数（UMGF）方法来确定最佳的电力网络拓扑。已经开发了一种计算机程序来实现UMGF技术并结合蚁群算法。在本工作结束时将处理一个说明性示例。

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