{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:46:34Z","timestamp":1777704394521,"version":"3.51.4"},"reference-count":19,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2018,6,28]],"date-time":"2018-06-28T00:00:00Z","timestamp":1530144000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,10,27]]},"abstract":"<jats:p>The key algorithm of the traditional system is aimed at the minimum of a certain factor, but does not consider the uncertain conditions and various modes of transportation, and the result of the scheduling is not excellent. To this end, a new fuzzy scheduling optimization system based on ant colony algorithm for multi-objective transportation path is designed. Based on the GPS module, a fuzzy scheduling optimization system based on ant colony algorithm for multi-objective transportation path is designed, and the overall structure of the system is given. The scheduling optimization problem of freight transport lines is described, and the volume of demand, the total volume of delivery and the remaining number of vehicles are made fuzzy processing. The goal is to minimize the total time of the advance or tardiness of the transportation and the total cost, so that the fuzzy scheduling model of transportation path is built. According to the principle of ant colony algorithm, the built multi-objective model will be transformed into a single objective model, and combined with the objective function, the index heuristic information and the performance of ant colony algorithm are set, and the optimal solution of that the deviation is minimum with the ideal solution is calculated by using ant colony algorithm, so as to achieve the multi-objective transportation path scheduling. The experimental results show that the total transportation distance of the designed system is short, the total cost is low, and the goods can be delivered in time.<\/jats:p>","DOI":"10.3233\/jifs-169746","type":"journal-article","created":{"date-parts":[[2018,6,29]],"date-time":"2018-06-29T16:40:12Z","timestamp":1530290412000},"page":"4257-4266","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Fuzzy scheduling optimization system for multi-objective transportation path based on ant colony algorithm"],"prefix":"10.1177","volume":"35","author":[{"given":"Gengrui","family":"Wu","sequence":"first","affiliation":[{"name":"Material Management and Support College, Armed Police Force Engineering University, Xi\u2019an, China"},{"name":"Department of Information and Communication, Police officer college of Armed Police Force, Chengdu, China"}]},{"given":"Niao","family":"Bo","sequence":"additional","affiliation":[{"name":"Basic Department, Police officer college of Armed Police Force, Chengdu, China"}]},{"given":"Husheng","family":"Wu","sequence":"additional","affiliation":[{"name":"Material Management and Support College, Armed Police Force Engineering University, Xi\u2019an, China"}]},{"given":"Yong","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Information and Communication, Police officer college of Armed Police Force, Chengdu, China"}]},{"given":"Nasruddin","family":"Hassan","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia"}]}],"member":"179","published-online":{"date-parts":[[2018,6,28]]},"reference":[{"issue":"23","key":"e_1_3_2_2_2","first-page":"1","article-title":"Ant colony optimization for simulated dynamic multi-objective railway junction rescheduling","volume":"99","author":"Eaton J.","year":"2017","unstructured":"EatonJ., YangS. and GongoraM., Ant colony optimization for simulated dynamic multi-objective railway junction rescheduling, IEEE Transactions on Intelligent Transportation Systems99(23) (2017), 1\u201313.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.11.050"},{"issue":"23","key":"e_1_3_2_4_2","first-page":"3114","article-title":"Antarna-ant colony based rna sequence design","volume":"31","author":"Robert K.","year":"2015","unstructured":"RobertK., MartinM. and RolfB., Antarna-ant colony based rna sequence design, Bioinformatics31(23) (2015), 3114\u20133121.","journal-title":"Bioinformatics"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2682899"},{"issue":"12","key":"e_1_3_2_6_2","first-page":"1051","article-title":"An interactive approach for the multi-objective transportation problem with interval parameters","volume":"53","author":"Hu K.J.","year":"2015","unstructured":"HuK.J., An interactive approach for the multi-objective transportation problem with interval parameters, International Journal of Production Research53(12) (2015), 1051\u20131064.","journal-title":"International Journal of Production Research"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.09.014"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2657550"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2015.1428"},{"issue":"35","key":"e_1_3_2_10_2","first-page":"1","article-title":"Location-coverage models for preventing attacks on interurban transportation networks","volume":"258","author":"Auad R.","year":"2017","unstructured":"AuadR. and BattaR., Location-coverage models for preventing attacks on interurban transportation networks, Annals of Operations Research258(35) (2017), 1\u201339.","journal-title":"Annals of Operations Research"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.01.017"},{"issue":"34","key":"e_1_3_2_12_2","first-page":"1","article-title":"Open shop scheduling problem with a multi-skills resource constraint: A genetic algorithm and an ant colony optimisation approach","volume":"54","author":"Ciro G.C.","year":"2016","unstructured":"CiroG.C., DugardinF., YalaouiF., et al., Open shop scheduling problem with a multi-skills resource constraint: A genetic algorithm and an ant colony optimisation approach, International Journal of Production Research54(34) (2016), 1\u201328.","journal-title":"International Journal of Production Research"},{"issue":"8","key":"e_1_3_2_13_2","first-page":"5217","article-title":"Performance of financial expenditure in China\u2019s basic science and math education: Panel data analysis based on CCR model and BBC model","volume":"13","author":"Si L.","year":"2017","unstructured":"SiL. and QiaoH., Performance of financial expenditure in China\u2019s basic science and math education: Panel data analysis based on CCR model and BBC model, Eurasia Journal of Mathematics Science and Technology Education13(8) (2017), 5217\u20135224.","journal-title":"Eurasia Journal of Mathematics Science and Technology Education"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sjbs.2016.09.010"},{"issue":"1","key":"e_1_3_2_15_2","first-page":"79","article-title":"Generalized ratio-product-type estimator for variance using auxiliary information in simple random sampling","volume":"45","author":"Ismail M.","year":"2018","unstructured":"IsmailM., KanwalN. and ShahbazM.Q., Generalized ratio-product-type estimator for variance using auxiliary information in simple random sampling, Kuwait Journal of Science45(1) (2018), 79\u201388.","journal-title":"Kuwait Journal of Science"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1080\/09720502.2016.1228318"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1080\/09720529.2016.1178908"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.3934\/dcdss.2018030"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.21042\/AMNS.2017.1.00004"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.21042\/AMNS.2017.1.00014"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169746","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-169746","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169746","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:41:06Z","timestamp":1777455666000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-169746"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,28]]},"references-count":19,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,10,27]]}},"alternative-id":["10.3233\/JIFS-169746"],"URL":"https:\/\/doi.org\/10.3233\/jifs-169746","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,28]]}}}