{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T04:40:09Z","timestamp":1751863209609,"version":"3.41.0"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030003494"},{"type":"electronic","value":"9783030003500"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00350-0_21","type":"book-chapter","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T20:21:13Z","timestamp":1536783673000},"page":"246-256","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hybrid Simulation and GA for a Flexible Flow Shop Problem with Variable Processors and Re-entrant Flow"],"prefix":"10.1007","author":[{"given":"German","family":"Mendez-Giraldo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lindsay","family":"Alvarez-Pomar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos","family":"Franco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,13]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Pinedo, M.L.: Scheduling: Theory, Algorithms, and Systems. Springer, Heidelberg (2016)","key":"21_CR1","DOI":"10.1007\/978-3-319-26580-3"},{"doi-asserted-by":"crossref","unstructured":"Sioud, A., Gagn\u00e9, C., Gravel, M.: An ant colony optimization for solving a hybrid flexible flowshop. In: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, pp. 17\u201318. ACM, July 2014","key":"21_CR2","DOI":"10.1145\/2598394.2598402"},{"key":"21_CR3","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.cie.2016.05.006","volume":"97","author":"W Sukkerd","year":"2016","unstructured":"Sukkerd, W., Wuttipornpun, T.: Hybrid genetic algorithm and tabu search for finite capacity material requirement planning system in flexible flow shop with assembly operations. Comput. Ind. Eng. 97, 157\u2013169 (2016)","journal-title":"Comput. Ind. Eng."},{"issue":"3","key":"21_CR4","first-page":"377","volume":"21","author":"M Zandieh","year":"2015","unstructured":"Zandieh, M., Hashemi, A.R.: Group scheduling in hybrid flexible flowshop with sequence-dependent setup times and random breakdowns via integrating genetic algorithm and simulation. Int. J. Ind. Syst. Eng. 21(3), 377\u2013394 (2015)","journal-title":"Int. J. Ind. Syst. Eng."},{"unstructured":"Xu, Y., Tan, W.: The modeling and simulation of flow shop scheduling problem based on adaptive genetic algorithm. RISTI (Revista Iberica de Sistemas e Tecnologias de Informacao) (17A), 25\u201341 (2016)","key":"21_CR5"},{"doi-asserted-by":"crossref","unstructured":"Hong, T., Wang, T.: A heuristic Palmer-based fuzzy flexible flow-shop scheduling algorithm. In: Fuzzy Systems Conference Proceedings 1999, vol. 3, pp. 1493\u20131497 (1999)","key":"21_CR6","DOI":"10.1109\/FUZZY.1999.790125"},{"doi-asserted-by":"crossref","unstructured":"Hong, T., Wang, C., Wang, S.: A heuristic Gupta-based flexible flow-shop scheduling algorithm. In: 2000 IEEE International Conference on Systems, Man, and Cybernetics, vol. 1, pp. 319\u2013322 (2000)","key":"21_CR7","DOI":"10.1109\/ICSMC.2000.885010"},{"doi-asserted-by":"crossref","unstructured":"Wang, L., Dawei, L.: A scheduling algorithm for flexible flow shop problem. In: Proceedings of the 4th World Congress on Intelligent Control and Automation 2002, vol. 4, pp. 3106\u20133108 (2002)","key":"21_CR8","DOI":"10.1109\/WCICA.2002.1020102"},{"doi-asserted-by":"crossref","unstructured":"V\u00e1squez, J.A., Salhi, A.: Performance of single stage representation genetic algorithms in scheduling flexible flow shops. In: Proceedings of the 2005 IEEE Congress on Evolutionary Computation 2005, vol. 2, pp. 1364\u20131371 (2005)","key":"21_CR9","DOI":"10.1109\/CEC.2005.1554849"},{"doi-asserted-by":"crossref","unstructured":"Fenghe, J., Yaping, F.: Master-slave genetic algorithm for flow shop scheduling with resource flexibility. In: 2010 IEEE International Conference on Advanced Management Science (ICAMS), vol. 1, pp. 341\u2013346 (2010)","key":"21_CR10","DOI":"10.1109\/ICAMS.2010.5553159"},{"doi-asserted-by":"crossref","unstructured":"Gao, H., Feng, B., Zhu, L.: An improved genetic algorithm for flow shop sequencing. In: International Conference on Neural Networks and Brain 2005, vol. 1, pp. 521\u2013524 (2005)","key":"21_CR11","DOI":"10.1109\/ICNNB.2005.1614667"},{"key":"21_CR12","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/BF02238804","volume":"45","author":"P Brucker","year":"1990","unstructured":"Brucker, P., Schile, R.: Job-shop scheduling with multi-purpose machines. Computing 45, 369\u2013375 (1990)","journal-title":"Computing"},{"key":"21_CR13","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/j.dam.2011.11.033","volume":"164","author":"R Freitas Rodrigues de","year":"2014","unstructured":"de Freitas Rodrigues, R., Dourado, M.C., Szwarcfiter, J.L.: Scheduling problem with multi-purpose parallel machines. Discret. Appl. Math. 164, 313\u2013319 (2014)","journal-title":"Discret. Appl. Math."},{"key":"21_CR14","series-title":"Simulation Foundations, Methods and Applications","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/978-3-319-55417-4_18","volume-title":"Guide to Computational Modelling for Decision Processes","author":"V Lowndes","year":"2017","unstructured":"Lowndes, V., Berry, S.: Appendix C: what to simulate to evaluate production planning and control methods in small manufacturing firm\u2019s. In: Berry, S., Lowndes, V., Trovati, M. (eds.) Guide to Computational Modelling for Decision Processes. SFMA, pp. 377\u2013379. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-55417-4_18"}],"container-title":["Communications in Computer and Information Science","Applied Computer Sciences in Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00350-0_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T04:04:38Z","timestamp":1751861078000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-00350-0_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030003494","9783030003500"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00350-0_21","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]}}}