{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T21:12:16Z","timestamp":1773436336810,"version":"3.50.1"},"reference-count":11,"publisher":"Cambridge University Press (CUP)","issue":"5","license":[{"start":{"date-parts":[[2014,9,4]],"date-time":"2014-09-04T00:00:00Z","timestamp":1409788800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Math. Struct. Comp. Sci."],"published-print":{"date-parts":[[2014,10]]},"abstract":"<jats:p>The function of airport gate assignment is to assign appropriate gates for arrival and departure flights and to ensure the flights are on schedule. A key task of airport ground operations is assigning the airport gate with high efficiency and a reasonable arrangement. In this paper we establish an optimised model based on the characteristics of both the flights (the flight type, flight down time and the number of passengers) and the airport gates (the ease of access of the airport gate). We give a representation of the solution space and a direct graph model of the airport gate configuration based on dynamic scheduling parallel machines. We design a method for solving the airport gate configuration based on an immune genetic algorithm. The simulation results show the effectiveness of this model and algorithm.<\/jats:p>","DOI":"10.1017\/s0960129513000765","type":"journal-article","created":{"date-parts":[[2014,9,5]],"date-time":"2014-09-05T00:08:51Z","timestamp":1409875731000},"source":"Crossref","is-referenced-by-count":5,"title":["Optimised assignment of airport gate configurations using an immune genetic algorithm"],"prefix":"10.1017","volume":"24","author":[{"given":"LI","family":"WANG","sequence":"first","affiliation":[]},{"given":"QI-LIN","family":"ZHU","sequence":"additional","affiliation":[]},{"given":"XIAO-FANG","family":"XU","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2014,9,4]]},"reference":[{"key":"S0960129513000765_ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.05.002"},{"key":"S0960129513000765_ref10","first-page":"102","article-title":"The distribution of airport gate based on sorting algorithm.","volume":"22","author":"Wen","year":"2004","journal-title":"Systems Engineering"},{"key":"S0960129513000765_ref1","first-page":"1867","volume-title":"Computers and Operations Research","author":"Ding","year":"2005"},{"key":"S0960129513000765_ref4","doi-asserted-by":"crossref","unstructured":"Hu X. B. and Di Paolo E. (2007) An efficient genetic algorithm with uniform crossover for the multi-objective airport gate assignment problem. IEEE Congress on Evolutionary Computation 55\u201362.","DOI":"10.1109\/CEC.2007.4424454"},{"key":"S0960129513000765_ref5","first-page":"138","article-title":"Airport gate assignment problems based on GSAA.","volume":"8","author":"Ju","year":"2008","journal-title":"Journal of Transportation Systems Engineering and Information Technology"},{"key":"S0960129513000765_ref7","unstructured":"Wang L. (2007) Optimization of Civil Airport Gate Computer Simulation. The 26th Chinese Control Conference 351\u2013355."},{"key":"S0960129513000765_ref3","doi-asserted-by":"publisher","DOI":"10.1016\/0191-2607(90)90071-D"},{"key":"S0960129513000765_ref9","first-page":"433","article-title":"Optimized Assignment of Civil Airport Gate.","volume":"38","author":"Wang","year":"2006","journal-title":"Journal of Nanjing University of Aeronautics and Astronautics"},{"key":"S0960129513000765_ref2","first-page":"385","article-title":"Multicriteria airport gate assignment and Pareto simulated annealing.","volume":"40","author":"Drexl","year":"2008","journal-title":"IIE Transactions (Institute of Industrial Engineers)"},{"key":"S0960129513000765_ref8","doi-asserted-by":"crossref","unstructured":"Wang L. (2010) Optimized Assignment of Civil Airport Gate. 2010 International Conference on Intelligent System Design and Engineering Application 33\u201338.","DOI":"10.1109\/ISDEA.2010.346"},{"key":"S0960129513000765_ref6","doi-asserted-by":"publisher","DOI":"10.1016\/0360-8352(93)90236-Q"}],"container-title":["Mathematical Structures in Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0960129513000765","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,22]],"date-time":"2019-04-22T00:19:33Z","timestamp":1555892373000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0960129513000765\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,9,4]]},"references-count":11,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2014,10]]}},"alternative-id":["S0960129513000765"],"URL":"https:\/\/doi.org\/10.1017\/s0960129513000765","relation":{},"ISSN":["0960-1295","1469-8072"],"issn-type":[{"value":"0960-1295","type":"print"},{"value":"1469-8072","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,9,4]]},"article-number":"e240517"}}