{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:19:51Z","timestamp":1743038391916,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031214400"},{"type":"electronic","value":"9783031214417"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-21441-7_2","type":"book-chapter","created":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T00:03:50Z","timestamp":1670198630000},"page":"19-33","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Job Assignment Problem and\u00a0Traveling Salesman Problem: A Linked Optimisation Problem"],"prefix":"10.1007","author":[{"given":"Akinola","family":"Ogunsemi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"McCall","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mathias","family":"Kern","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin","family":"Lacroix","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Corsar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gilbert","family":"Owusu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,5]]},"reference":[{"issue":"4","key":"2_CR1","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1108\/17563781211282231","volume":"5","author":"M Ibrahimov","year":"2012","unstructured":"Ibrahimov, M., Mohais, A., Schellenberg, S., Michalewicz, Z.: Evolutionary approaches for supply chain optimisation: part i: single and two-component supply chains. IJICC 5(4), 444\u2013472 (2012)","journal-title":"IJICC"},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Bonyadi, M.R., Michalewicz, Z., Barone, L.: The travelling thief problem: The first step in the transition from theoretical problems to realistic problems. In: IEEE CEC. IEEE 2013, 1037\u20131044 (2013)","DOI":"10.1109\/CEC.2013.6557681"},{"key":"2_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1007\/978-3-319-55453-2_2","volume-title":"Evolutionary Computation in Combinatorial Optimization","author":"DKS Vieira","year":"2017","unstructured":"Vieira, D.K.S., Soares, G.L., Vasconcelos, J.A., Mendes, M.H.S.: A genetic algorithm for multi-component optimization problems: the case of the travelling thief problem. In: Hu, B., L\u00f3pez-Ib\u00e1\u00f1ez, M. (eds.) EvoCOP 2017. LNCS, vol. 10197, pp. 18\u201329. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-55453-2_2"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"Xie, F., Potts, C.N., Bekta\u015f, T.: Iterated local search for workforce scheduling and routing problems. JH, vol. 23, no. 6, pp. 471\u2013500, 2017","DOI":"10.1007\/s10732-017-9347-8"},{"key":"2_CR5","unstructured":"Conti, G., Dow, A.: The impacts of covid-19 on health visiting services in england: Foi evidence for the first wave (2020)"},{"key":"2_CR6","unstructured":"Castillo-Salazar, A., Landa-Silva, D., Qu, R.: A survey of workforce scheduling and routing (2012)"},{"key":"2_CR7","unstructured":"Castillo-Salazar, J.A., Landa-Silva, D., Qu, R.: A greedy heuristic for workforce scheduling and routing with time-dependent activities constraints (2015)"},{"issue":"9","key":"2_CR8","first-page":"1423","volume":"65","author":"F Camci","year":"2014","unstructured":"Camci, F.: The travelling maintainer problem: integration of condition-based maintenance with the travelling salesman problem. JORS 65(9), 1423\u20131436 (2014)","journal-title":"JORS"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Zhang, T., Gruver, W., Smith, M.H.: Team scheduling by genetic search. In: IPMM\u201999 (Cat. No. 99EX296), vol. 2. IEEE, pp. 839\u2013844 (1999)","DOI":"10.1109\/IPMM.1999.791495"},{"key":"2_CR10","doi-asserted-by":"crossref","unstructured":"Assaf, M., Ndiaye, M.,: Multi travelling salesman problem formulation. In: 4th ICIEA. IEEE 2017, 292\u2013295 (2017)","DOI":"10.1109\/IEA.2017.7939224"},{"issue":"2","key":"2_CR11","first-page":"108","volume":"7","author":"Y Shuai","year":"2019","unstructured":"Shuai, Y., Yunfeng, S., Kai, Z.: An effective method for solving multiple travelling salesman problem based on nsga-ii. SSCE 7(2), 108\u2013116 (2019)","journal-title":"SSCE"},{"issue":"3","key":"2_CR12","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1057\/ori.2013.1","volume":"26","author":"J Stolk","year":"2013","unstructured":"Stolk, J., Mann, I., Mohais, A., Michalewicz, Z.: Combining vehicle routing and packing for optimal delivery schedules of water tanks. OR Insight 26(3), 167\u2013190 (2013)","journal-title":"OR Insight"},{"issue":"1","key":"2_CR13","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.ejor.2012.09.019","volume":"225","author":"L Chen","year":"2013","unstructured":"Chen, L., Langevin, A., Lu, Z.: Integrated scheduling of crane handling and truck transportation in a maritime container terminal. EJOR 225(1), 142\u2013152 (2013)","journal-title":"EJOR"},{"key":"2_CR14","first-page":"158","volume":"159","author":"T-L Chen","year":"2015","unstructured":"Chen, T.-L., Cheng, C.-Y., Chen, Y.-Y., Chan, L.-K.: An efficient hybrid algorithm for integrated order batching, sequencing and routing problem. IJPE 159, 158\u2013167 (2015)","journal-title":"IJPE"},{"key":"2_CR15","first-page":"224","volume":"104","author":"S Moons","year":"2017","unstructured":"Moons, S., Ramaekers, K., Caris, A., Arda, Y.: Integrating production scheduling and vehicle routing decisions at the operational decision level: a review and discussion. CIE 104, 224\u2013245 (2017)","journal-title":"CIE"},{"issue":"1","key":"2_CR16","first-page":"17","volume":"24","author":"PC Chu","year":"1997","unstructured":"Chu, P.C., Beasley, J.E.: A genetic algorithm for the generalised assignment problem. COR 24(1), 17\u201323 (1997)","journal-title":"COR"},{"key":"2_CR17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/3-540-48661-5_1","volume":"840","author":"R Gerhard","year":"1994","unstructured":"Gerhard, R.: The traveling salesman: computational solutions for tsp applications. Lect. Notes Comput. Sci. 840, 1\u2013223 (1994)","journal-title":"Lect. Notes Comput. Sci."},{"issue":"2","key":"2_CR18","first-page":"182","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: Nsga-ii. IEEE TEC 6(2), 182\u2013197 (2002)","journal-title":"IEEE TEC"},{"issue":"3","key":"2_CR19","first-page":"1339","volume":"26","author":"PK Muhuri","year":"2017","unstructured":"Muhuri, P.K., Ashraf, Z., Lohani, Q.D.: Multiobjective reliability redundancy allocation problem with interval type-2 fuzzy uncertainty. IEEE TFS 26(3), 1339\u20131355 (2017)","journal-title":"IEEE TFS"},{"key":"2_CR20","doi-asserted-by":"publisher","unstructured":"Hwang, C.-L., Yoon, K.: Methods for multiple attribute decision making. In: Lecture Notes in Economics and Mathematical Systems, vol 186, pp. 58\u2013191 Springer, Berlin, Heidelberg (1981). https:\/\/doi.org\/10.1007\/978-3-642-48318-9_3","DOI":"10.1007\/978-3-642-48318-9_3"},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"Rahim, R., et al.: Topsis method application for decision support system in internal control for selecting best employees. In: JP: Conference Series, vol. 1028, no. 1. IOP Publishing, p. 012052 (2018)","DOI":"10.1088\/1742-6596\/1028\/1\/012052"},{"issue":"1998","key":"2_CR22","first-page":"175","volume":"15","author":"E Triantaphyllou","year":"1998","unstructured":"Triantaphyllou, E., Shu, B., Sanchez, S.N., Ray, T.: Multi-criteria decision making: an operations research approach. EEEE 15(1998), 175\u2013186 (1998)","journal-title":"EEEE"},{"issue":"9","key":"2_CR23","first-page":"3145","volume":"91","author":"G Luo","year":"2017","unstructured":"Luo, G., Wen, X., Li, H., Ming, W., Xie, G.: An effective multi-objective genetic algorithm based on immune principle and external archive for multi-objective integrated process planning and scheduling. IJAMT 91(9), 3145\u20133158 (2017)","journal-title":"IJAMT"},{"issue":"18","key":"2_CR24","doi-asserted-by":"publisher","first-page":"24","DOI":"10.5120\/10567-5583","volume":"63","author":"T Geetha","year":"2013","unstructured":"Geetha, T., Muthukumaran, K.: An observational analysis of genetic operators. IJCA 63(18), 24\u201334 (2013)","journal-title":"IJCA"},{"key":"2_CR25","doi-asserted-by":"crossref","unstructured":"Legillon, F., Liefooghe, A., Talbi, E.-G.: Cobra: A cooperative coevolutionary algorithm for bi-level optimization. In: IEEE CEC. IEEE 2012, 1\u20138 (2012)","DOI":"10.1109\/CEC.2012.6256620"},{"key":"2_CR26","doi-asserted-by":"crossref","unstructured":"Ibrahimov, M.: Evolutionary algorithms for supply chain optimisation. Ph.D. dissertation (2012)","DOI":"10.1108\/17563781211282231"},{"key":"2_CR27","doi-asserted-by":"crossref","unstructured":"Lin, C.K.Y.: Solving a location, allocation, and capacity planning problem with dynamic demand and response time service level. MPE, vol. (2014)","DOI":"10.1155\/2014\/492340"},{"issue":"1","key":"2_CR28","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.ejor.2012.11.049","volume":"227","author":"CA Ullrich","year":"2013","unstructured":"Ullrich, C.A.: Integrated machine scheduling and vehicle routing with time windows. EJOR 227(1), 152\u2013165 (2013)","journal-title":"EJOR"},{"issue":"10","key":"2_CR29","doi-asserted-by":"publisher","first-page":"2833","DOI":"10.1080\/00207540903473367","volume":"49","author":"A Nourmohammadi","year":"2011","unstructured":"Nourmohammadi, A., Zandieh, M.: Assembly line balancing by a new multi-objective differential evolution algorithm based on topsis. IJPR 49(10), 2833\u20132855 (2011)","journal-title":"IJPR"},{"issue":"11","key":"2_CR30","first-page":"1069","volume":"41","author":"JE Beasley","year":"1990","unstructured":"Beasley, J.E.: Or-library: distributing test problems by electronic mail. JORS 41(11), 1069\u20131072 (1990)","journal-title":"JORS"},{"key":"2_CR31","first-page":"1","volume":"338","author":"G Reinelt","year":"1995","unstructured":"Reinelt, G.: Tsplib95. IWR, Heidelberg 338, 1\u201316 (1995)","journal-title":"IWR, Heidelberg"},{"issue":"4","key":"2_CR32","first-page":"257","volume":"3","author":"E Zitzler","year":"1999","unstructured":"Zitzler, E., Thiele, L.: Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach. IEEE TEC 3(4), 257\u2013271 (1999)","journal-title":"IEEE TEC"},{"key":"2_CR33","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/978-3-319-54157-0_3","volume-title":"Evolutionary Multi-Criterion Optimization","author":"LCT Bezerra","year":"2017","unstructured":"Bezerra, L.C.T., L\u00f3pez-Ib\u00e1\u00f1ez, M., St\u00fctzle, T.: An empirical assessment of the properties of inverted generational distance on multi- and many-objective optimization. In: Trautmann, H. (ed.) EMO 2017. LNCS, vol. 10173, pp. 31\u201345. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-54157-0_3"},{"issue":"2","key":"2_CR34","first-page":"117","volume":"7","author":"E Zitzler","year":"2003","unstructured":"Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C.M., Da Fonseca, V.G.: Performance assessment of multiobjective optimizers: An analysis and review. IEEE TEC 7(2), 117\u2013132 (2003)","journal-title":"IEEE TEC"},{"key":"2_CR35","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1007\/BFb0056872","volume-title":"Parallel Problem Solving from Nature \u2014 PPSN V","author":"E Zitzler","year":"1998","unstructured":"Zitzler, E., Thiele, L.: Multiobjective optimization using evolutionary algorithms \u2014 a comparative case study. In: Eiben, A.E., B\u00e4ck, T., Schoenauer, M., Schwefel, H.-P. (eds.) PPSN 1998. LNCS, vol. 1498, pp. 292\u2013301. Springer, Heidelberg (1998). https:\/\/doi.org\/10.1007\/BFb0056872"},{"issue":"4","key":"2_CR36","first-page":"865","volume":"80","author":"JA Manson","year":"2021","unstructured":"Manson, J.A., Chamberlain, T.W., Bourne, R.A.: Mvmoo: Mixed variable multi-objective optimisation. JGO 80(4), 865\u2013886 (2021)","journal-title":"JGO"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence XXXIX"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-21441-7_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T22:27:19Z","timestamp":1728512839000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-21441-7_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031214400","9783031214417"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-21441-7_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"5 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SGAI-AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Innovative Techniques and Applications of Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambridge","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"42","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sgai2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bcs-sgai.org\/ai2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}