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It can handle multiple measurement accuracy constraints, is coupled to a parametric definition of the wing tank geometry and is tested with two performance objectives. A range of crossover procedures of comparable node placement problems were tested for FQI-GA. Results show that the combinatorial nature of the probe architecture and accuracy constraints require a probe set selection mechanism before any crossover process. A case study, using approximated Airbus A320 requirements and tank geometry, is conducted and shows good agreement with the probe position results obtained with the FQI-GA. For the objectives of accessibility and probe mass, the Pareto front is linear, with little variation in mass. The case study confirms that the FQI-GA method can incorporate complex requirements and that designers can employ it to swiftly investigate FQI probe layouts and trade-offs.<\/jats:p>","DOI":"10.3233\/ica-200646","type":"journal-article","created":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T12:36:03Z","timestamp":1608035763000},"page":"141-158","source":"Crossref","is-referenced-by-count":7,"title":["Rapid design of aircraft fuel quantity indication systems via multi-objective evolutionary algorithms"],"prefix":"10.1177","volume":"28","author":[{"given":"David","family":"Judt","sequence":"first","affiliation":[]},{"given":"Craig","family":"Lawson","sequence":"additional","affiliation":[]},{"given":"Albert S.J.","family":"van Heerden","sequence":"additional","affiliation":[]}],"member":"179","reference":[{"key":"10.3233\/ICA-200646_ref6","unstructured":"Dorbath F, Nagel B, Gollnick V. 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