{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:39:40Z","timestamp":1743136780657,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319941196"},{"type":"electronic","value":"9783319941202"}],"license":[{"start":{"date-parts":[[2018,6,7]],"date-time":"2018-06-07T00:00:00Z","timestamp":1528329600000},"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":[[2019]]},"DOI":"10.1007\/978-3-319-94120-2_41","type":"book-chapter","created":{"date-parts":[[2018,6,6]],"date-time":"2018-06-06T04:02:46Z","timestamp":1528257766000},"page":"426-435","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Swarm Intelligence Methods on Inventory Management"],"prefix":"10.1007","author":[{"given":"Dragan","family":"Simi\u0107","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vladimir","family":"Ilin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Svetislav D.","family":"Simi\u0107","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Svetlana","family":"Simi\u0107","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,7]]},"reference":[{"key":"41_CR1","volume-title":"Demand Forecasting and Inventory Control: A Computer Aided Learning Approach","author":"C Lewis","year":"1998","unstructured":"Lewis, C.: Demand Forecasting and Inventory Control: A Computer Aided Learning Approach. Wiley, New York (1998)"},{"key":"41_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-87146-7","volume-title":"Inventory Control: Models and Methods","author":"D Bartmann","year":"1992","unstructured":"Bartmann, D., Beckmann, M.J.: Inventory Control: Models and Methods. Springer, Heidelberg (1992)"},{"key":"41_CR3","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/978-3-642-38682-4_42","volume-title":"Advances in Computational Intelligence","author":"Dragan Simi\u0107","year":"2013","unstructured":"Simi\u0107, D., Simi\u0107, S.: Evolutionary approach in inventory routing problem. Lecture Notes in Computer Science, vol. 7903, pp. 395\u2013403. Springer (2013)"},{"key":"41_CR4","first-page":"208","volume-title":"Lecture Notes in Computer Science","author":"Dragan Simi\u0107","year":"2012","unstructured":"Simi\u0107, D., Simi\u0107, S.: Hybrid artificial intelligence approaches on vehicle routing problem in logistics distribution. In: Hybrid Artificial Intelligence Systems. LNCS, vol. 7208, pp. 208\u2013220. Springer, Heidelberg (2012)"},{"issue":"2","key":"41_CR5","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.jal.2014.11.007","volume":"13","author":"Dragan Simi\u0107","year":"2015","unstructured":"Simi\u0107, D., Svir\u010devi\u0107, V., Simi\u0107, S.: A hybrid evolutionary model for supplier assessment and selection in inbound logistics. J. Appl. Log. 13(2, Part A), 138\u2013147 (2015)","journal-title":"Journal of Applied Logic"},{"key":"41_CR6","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.jal.2016.11.016","volume":"24","author":"Dragan Simi\u0107","year":"2017","unstructured":"Simi\u0107, D., Kova\u010devi\u0107, I., Svir\u010devi\u0107, V., Simi\u0107, S.: 50 years of fuzzy set theory and models for supplier assessment and selection: a literature review. J. Appl. Log. 24(part A), 85\u201396 (2017)","journal-title":"Journal of Applied Logic"},{"issue":"3","key":"41_CR7","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1093\/jigpal\/jzv011","volume":"23","author":"D Simi\u0107","year":"2015","unstructured":"Simi\u0107, D., Kova\u010devi\u0107, I., Svir\u010devi\u0107, V., Simi\u0107, S.: Hybrid firefly model in routing heterogeneous fleet of vehicles in logistics distribution. Log. J. IGPL 23(3), 521\u2013532 (2015)","journal-title":"Log. J. IGPL"},{"key":"41_CR8","unstructured":"Keynes, J.M.: The General Theory of Employment, Interest, and Money (reprint edition). Macmillan and Co., London (1949)"},{"issue":"3","key":"41_CR9","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/S0925-5273(00)00185-7","volume":"73","author":"B Samanta","year":"2001","unstructured":"Samanta, B., Al-Araimi, S.A.: An inventory control model using fuzzy logic. Int. J. Prod. Econ. 73(3), 217\u2013226 (2001)","journal-title":"Int. J. Prod. Econ."},{"key":"41_CR10","doi-asserted-by":"crossref","unstructured":"Madamidola, O.A, Daramola, O.A Akintola, K.G.: Web \u2013 based intelligent inventory management system. Int. J. Trend Sci. Res. Dev. 1(4), 164\u2013173 (2017)","DOI":"10.31142\/ijtsrd107"},{"issue":"1","key":"41_CR11","doi-asserted-by":"publisher","first-page":"48","DOI":"10.13164\/trends.2016.25.48","volume":"25","author":"T \u0160ustrov\u00e1","year":"2016","unstructured":"\u0160ustrov\u00e1, T.: A suitable artificial intelligence model for inventory level optimization. Trends Econ. Manag. 25(1), 48\u201355 (2016)","journal-title":"Trends Econ. Manag."},{"issue":"2","key":"41_CR12","first-page":"10","volume":"1","author":"H Zhivitskaya","year":"2015","unstructured":"Zhivitskaya, H., Safronava, T.: Fuzzy model for inventory control under uncertainty. Central Eur. Researchers J. 1(2), 10\u201313 (2015)","journal-title":"Central Eur. Researchers J."},{"key":"41_CR13","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: IEEE International Conference on Neural Networks, vol. 4, pp. 1942\u20131948 (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"key":"41_CR14","unstructured":"Shi, Y., Eberhart, R.: A modified particle swarm optimizer. In: IEEE International Conference on Evolutionary Computation, pp. 69\u201373 (1998)"},{"key":"41_CR15","unstructured":"https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/53142-inventory-control-using-pso-in-matlab. Accessed 8 Mar 2018"},{"issue":"1","key":"41_CR16","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.asoc.2009.07.001","volume":"10","author":"T Niknam","year":"2010","unstructured":"Niknam, T., Amiri, B.: An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis. Appl. Soft Comput. 10(1), 183\u2013197 (2010)","journal-title":"Appl. Soft Comput."},{"issue":"2","key":"41_CR17","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1016\/j.asoc.2009.08.038","volume":"10","author":"K Mahadevana","year":"2010","unstructured":"Mahadevana, K., Kannan, P.S.: Comprehensive learning particle swarm optimization for reactive power dispatch. Appl. Soft Comput. 10(2), 641\u2013652 (2010)","journal-title":"Appl. Soft Comput."},{"issue":"2","key":"41_CR18","doi-asserted-by":"publisher","first-page":"618","DOI":"10.1016\/j.asoc.2009.08.029","volume":"10","author":"EMH Pedersen","year":"2010","unstructured":"Pedersen, E.M.H., Chipperfeld, A.J.: Simplifying particle swarm optimization. Appl. Soft Comput. 10(2), 618\u2013628 (2010)","journal-title":"Appl. Soft Comput."}],"container-title":["Advances in Intelligent Systems and Computing","International Joint Conference SOCO\u201918-CISIS\u201918-ICEUTE\u201918"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-94120-2_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,19]],"date-time":"2024-10-19T16:04:43Z","timestamp":1729353883000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-94120-2_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,7]]},"ISBN":["9783319941196","9783319941202"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-94120-2_41","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2018,6,7]]},"assertion":[{"value":"7 June 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SOCO\u201918-CISIS\u201918-ICEUTE\u201918","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The 13th International Conference on Soft Computing Models in Industrial and Environmental Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"san sebastian","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 June 2018","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":"icscmiea2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.soco2018.eu","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}