{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:17:14Z","timestamp":1742955434531,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030975487"},{"type":"electronic","value":"9783030975494"}],"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.springer.com\/tdm"},{"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.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-97549-4_27","type":"book-chapter","created":{"date-parts":[[2022,3,17]],"date-time":"2022-03-17T08:05:37Z","timestamp":1647504337000},"page":"234-241","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Influence of the ACO Evaporation Parameter for Unstructured Workforce Planning Problem"],"prefix":"10.1007","author":[{"given":"Stefka","family":"Fidanova","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olympia","family":"Roeva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,18]]},"reference":[{"key":"27_CR1","doi-asserted-by":"publisher","unstructured":"Alba E., Luque G., Luna F., Parallel metaheuristics for workforce planning. J. Math. Model. Algorithms 6(3), 509\u2013528 (2007). https:\/\/doi.org\/10.1007\/s10852-007-9058-5","DOI":"10.1007\/s10852-007-9058-5"},{"issue":"1","key":"27_CR2","doi-asserted-by":"publisher","first-page":"30","DOI":"10.18178\/ijscer.6.1.30-34","volume":"6","author":"G Albayrak","year":"2017","unstructured":"Albayrak, G., \u00d6zdemir, \u0130: A state of art review on metaheuristic methods in time-cost trade-off problems. Int. J. Struct. Civ. Eng. Res. 6(1), 30\u201334 (2017)","journal-title":"Int. J. Struct. Civ. Eng. Res."},{"key":"27_CR3","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780195131581.001.0001","volume-title":"Swarm Intelligence: From Natural to Artificial Systems","author":"E Bonabeau","year":"1999","unstructured":"Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York (1999)"},{"issue":"6","key":"27_CR4","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1057\/jors.2010.16","volume":"62","author":"G Campbell","year":"2011","unstructured":"Campbell, G.: A two-stage stochastic program for scheduling and allocating cross-trained workers. J. Oper. Res. Soc. 62(6), 1038\u20131047 (2011)","journal-title":"J. Oper. Res. Soc."},{"key":"27_CR5","doi-asserted-by":"crossref","unstructured":"Dorigo M, Stutzle T.: Ant Colony Optimization. MIT Press, Cambridge (2004)","DOI":"10.7551\/mitpress\/1290.001.0001"},{"issue":"4","key":"27_CR6","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1111\/poms.12174","volume":"23","author":"F Easton","year":"2014","unstructured":"Easton, F.: Service completion estimates for cross-trained workforce schedules under uncertain attendance and demand. Prod. Oper. Manag. 23(4), 660\u2013675 (2014)","journal-title":"Prod. Oper. Manag."},{"key":"27_CR7","doi-asserted-by":"crossref","unstructured":"Fidanova, S., Roeva, O., Paprzycki, M., Gepner, P.: InterCriteria analysis of ACO start startegies. In: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, pp. 547\u2013550 (2016)","DOI":"10.15439\/2016F137"},{"key":"27_CR8","doi-asserted-by":"crossref","unstructured":"Fidanova, S., Luque, G., Roeva, O., Paprzycki, M., Gepner, P.: Ant colony optimization algorithm for workforce planning. In: FedCSIS 2017, IEEE Xplorer, IEEE Catalog Number CFP1585N-ART, pp. 415\u2013419 (2017)","DOI":"10.15439\/2017F63"},{"key":"27_CR9","doi-asserted-by":"crossref","unstructured":"Roeva, O., Fidanova, S., Luque, G., Paprzycki, M., Gepner, P.: Hybrid ant colony optimization algorithm for workforce planning. In: FedCSIS 2018, IEEE Xplorer, pp. 233\u2013236 (2018)","DOI":"10.15439\/2018F47"},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Fidanova, S., Luque, G., Roeva, O., Ganzha, M.: Ant colony optimization algorithm for workforce planning: influence of the evaporation parameter. In: Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, Annals of Computer Science and Information Systems, pp. 181\u2013185 (2019). ISSN: 2300-5963","DOI":"10.15439\/2019F300"},{"key":"27_CR11","unstructured":"Glover, F., Kochenberger, G., Laguna, M., Wubbena, T.: Selection and assignment of a skilled workforce to meet job requirements in a fixed planning period. In: MAEB 2004, pp. 636\u2013641 (2004)"},{"key":"27_CR12","doi-asserted-by":"crossref","unstructured":"Grzybowska, K., Kov\u00e1cs, G.: Sustainable supply chain - supporting tools. In: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, vol. 2, pp. 1321\u20131329 (2014)","DOI":"10.15439\/2014F75"},{"issue":"3","key":"27_CR13","doi-asserted-by":"publisher","first-page":"942","DOI":"10.1016\/j.ejor.2014.10.060","volume":"242","author":"M Hewitt","year":"2015","unstructured":"Hewitt, M., Chacosky, A., Grasman, S., Thomas, B.: Integer programming techniques for solving non-linear workforce planning models with learning. Eur. J. Oper. Res. 242(3), 942\u2013950 (2015)","journal-title":"Eur. J. Oper. Res."},{"key":"27_CR14","doi-asserted-by":"publisher","unstructured":"Hu, K., Zhang, X., Gen, M., Jo, J.: A new model for single machine scheduling with uncertain processing time. J. Intell. Manuf. 28(3), 717\u2013725 (2015). https:\/\/doi.org\/10.1007\/s10845-015-1033-9","DOI":"10.1007\/s10845-015-1033-9"},{"key":"27_CR15","doi-asserted-by":"crossref","unstructured":"Li, G., Jiang, H., He, T.: A genetic algorithm-based decomposition approach to solve an integrated equipment-workforce-service planning problem. Omega 50, 1\u201317 (2015)","DOI":"10.1016\/j.omega.2014.07.003"},{"key":"27_CR16","doi-asserted-by":"publisher","unstructured":"Li, R., Liu, G.: An uncertain goal programming model for machine scheduling problem. J. Intell. Manuf. 28(3), 689\u2013694 (2014). https:\/\/doi.org\/10.1007\/s10845-014-0982-8","DOI":"10.1007\/s10845-014-0982-8"},{"key":"27_CR17","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/978-3-319-40132-4_9","volume-title":"Recent Advances in Computational Optimization","author":"A Mucherino","year":"2016","unstructured":"Mucherino, A., Fidanova, S., Ganzha, M.: Introducing the environment in ant colony optimization. In: Fidanova, S. (ed.) Recent Advances in Computational Optimization. SCI, vol. 655, pp. 147\u2013158. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-40132-4_9"},{"key":"27_CR18","doi-asserted-by":"crossref","unstructured":"Ning Y., Liu J., Yan L., Uncertain aggregate production planning. Soft Comput. 17(4), 617\u2013624 (2013)","DOI":"10.1007\/s00500-012-0931-4"},{"issue":"4","key":"27_CR19","doi-asserted-by":"publisher","first-page":"1096","DOI":"10.1016\/j.cie.2012.06.015","volume":"63","author":"M Othman","year":"2012","unstructured":"Othman, M., Bhuiyan, N., Gouw, G.: Integrating workers\u2019 differences into workforce planning. Comput. Ind. Eng. 63(4), 1096\u20131106 (2012)","journal-title":"Comput. Ind. Eng."},{"key":"27_CR20","doi-asserted-by":"crossref","unstructured":"Parisio, A., Jones, C.N.: A two-stage stochastic programming approach to employee scheduling in retail outlets with uncertain demand. Omega 53, 97\u2013103 (2015)","DOI":"10.1016\/j.omega.2015.01.003"},{"key":"27_CR21","unstructured":"Roeva, O., Atanassova, V.: Cuckoo search algorithm for model parameter identification. Int. J. Bioautom. 20(4), 483\u2013492 (2016)"},{"issue":"18","key":"27_CR22","doi-asserted-by":"publisher","first-page":"7504","DOI":"10.1016\/j.eswa.2013.06.073","volume":"40","author":"A Soukour","year":"2013","unstructured":"Soukour, A., Devendeville, L., Lucet, C., Moukrim, A.: A Memetic algorithm for staff scheduling problem in airport security service. Expert Syst. Appl. 40(18), 7504\u20137512 (2013)","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"27_CR23","first-page":"535","volume":"21","author":"SL Tilahun","year":"2017","unstructured":"Tilahun, S.L., Ngnotchouye, J.M.T.: Firefly algorithm for discrete optimization problems: a survey. J. Civ. Eng. 21(2), 535\u2013545 (2017)","journal-title":"J. Civ. Eng."},{"issue":"1\u20132","key":"27_CR24","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1111\/itor.12296","volume":"24","author":"D Toimil","year":"2017","unstructured":"Toimil, D., G\u00f3mes, A.: Review of metaheuristics applied to heat exchanger network design. Int. Trans. Oper. Res. 24(1\u20132), 7\u201326 (2017)","journal-title":"Int. Trans. Oper. Res."},{"key":"27_CR25","doi-asserted-by":"publisher","unstructured":"Yang, G., Tang, W., Zhao, R.: An uncertain workforce planning problem with job satisfaction. Int. J. Mach. Learn. Cybern. 8(5), 1681\u20131693 (2016). https:\/\/doi.org\/10.1007\/s13042-016-0539-6. http:\/\/rd.springer.com\/article\/10.1007\/s13042-016-0539-6","DOI":"10.1007\/s13042-016-0539-6"},{"issue":"3","key":"27_CR26","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1007\/s10845-014-0997-1","volume":"28","author":"C Zhou","year":"2014","unstructured":"Zhou, C., Tang, W., Zhao, R.: An uncertain search model for recruitment problem with enterprise performance. J. Intell. Manuf. 28(3), 695\u2013704 (2014). https:\/\/doi.org\/10.1007\/s10845-014-0997-1","journal-title":"J. Intell. Manuf."}],"container-title":["Lecture Notes in Computer Science","Large-Scale Scientific Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-97549-4_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,17]],"date-time":"2022-03-17T08:07:49Z","timestamp":1647504469000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-97549-4_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030975487","9783030975494"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-97549-4_27","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":"18 March 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LSSC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Large-Scale Scientific Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sozopol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bulgaria","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"lssc2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/parallel.bas.bg\/Conferences\/SciCom21\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}