ADVANCED OPTIMIZATION ALGORITHMS TO BOOST THE RELIABILITY OF COMPLEX SYSTEMS VIA COMPONENT SENSITIVITY ANALYSIS
Keywords:
Reliability theory, water distribution network, Golden Jackal Optimization, Pelican Optimization Algorithm, Birnbaum importance, minimal pathsAbstract
Maintenance resources are a critical factor in ensuring reliable water supply in municipal networks, particularly in terms of their distribution among the individual pipeline components. Uniform allocation inflicts unnecessary cost or reliability objectives are not achieved because of the neglect of differentiating between pipes. This paper presents a framework to guide two recently developed nature-inspired metaheuristics, the Golden Jackal Optimization (GJO) and the Pelican Optimization Algorithm (POA) to cost-efficient reliability allocation by incorporating the exact minimal-path enumeration, Birnbaum structural importance ranking . The case studied is a directed pipeline network from Pyigyitagon Township, Mandalay, Myanmar. The Birnbaum importance indices determine a priority value for each pipe segment and contribute to the formation of a fitness function which penalises deviations from the target, costs, and the violation of the priority ordering. Under the same conditions, experiments reveal that GJO is able to converge significantly faster, with POA offering more accurate tracking of the target and a lower cost allocation.
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