{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T11:09:01Z","timestamp":1753182541787,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819981373"},{"type":"electronic","value":"9789819981380"}],"license":[{"start":{"date-parts":[[2023,11,26]],"date-time":"2023-11-26T00:00:00Z","timestamp":1700956800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,26]],"date-time":"2023-11-26T00:00:00Z","timestamp":1700956800000},"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":[[2024]]},"DOI":"10.1007\/978-981-99-8138-0_3","type":"book-chapter","created":{"date-parts":[[2023,11,25]],"date-time":"2023-11-25T10:02:23Z","timestamp":1700906543000},"page":"26-37","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Application of\u00a0ALMM Technology to\u00a0Intelligent Control System for\u00a0a\u00a0Fleet of\u00a0Unmanned Aerial Vehicles"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4596-8659","authenticated-orcid":false,"given":"Ewa","family":"Zeslawska","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7023-1646","authenticated-orcid":false,"given":"Zbigniew","family":"Gomolka","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3263-1299","authenticated-orcid":false,"given":"Ewa","family":"Dydek-Dyduch","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,11,26]]},"reference":[{"key":"3_CR1","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/978-3-030-79725-6_13","volume-title":"Complex, Intelligent and Software Intensive Systems","author":"M Bolanowski","year":"2021","unstructured":"Bolanowski, M., Paszkiewicz, A., Rumak, B.: Coarse traffic classification for high-bandwidth connections in a computer network using deep learning techniques. In: Barolli, L., Yim, K., Enokido, T. (eds.) CISIS 2021. LNNS, vol. 278, pp. 131\u2013141. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-79725-6_13"},{"key":"3_CR2","unstructured":"Cwiklak, J., Krasuski, K., Ambroziak, R., Wach, J.: Selected aspects of air navigation security (In Polish). Lotnicza Akademia Wojskowa (2023)"},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.future.2022.09.018","volume":"139","author":"Y Djenouri","year":"2023","unstructured":"Djenouri, Y., Belhadi, A., Srivastava, G., Lin, J.C.W.: Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting. Futur. Gener. Comput. Syst. 139, 100\u2013108 (2023). https:\/\/doi.org\/10.1016\/j.future.2022.09.018","journal-title":"Futur. Gener. Comput. Syst."},{"key":"3_CR4","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/978-3-030-19501-4_17","volume-title":"Engineering in Dependability of Computer Systems and Networks","author":"E Dudek-Dyduch","year":"2020","unstructured":"Dudek-Dyduch, E., Gomolka, Z., Twarog, B., Zeslawska, E.: The concept of the ALMM solver knowledge base retrieval using Prot\u00e9g\u00e9 environment. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds.) DepCoS-RELCOMEX 2019. AISC, vol. 987, pp. 177\u2013185. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-19501-4_17"},{"issue":"3","key":"3_CR5","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1016\/j.ejor.2022.12.042","volume":"308","author":"A Ekici","year":"2023","unstructured":"Ekici, A.: A large neighborhood search algorithm and lower bounds for the variable-sized bin packing problem with conflicts. Eur. J. Oper. Res. 308(3), 1007\u20131020 (2023). https:\/\/doi.org\/10.1016\/j.ejor.2022.12.042","journal-title":"Eur. J. Oper. Res."},{"issue":"1","key":"3_CR6","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.ejor.2022.02.014","volume":"303","author":"K Fleszar","year":"2022","unstructured":"Fleszar, K.: A MILP model and two heuristics for the bin packing problem with conflicts and item fragmentation. Eur. J. Oper. Res. 303(1), 37\u201353 (2022). https:\/\/doi.org\/10.1016\/j.ejor.2022.02.014","journal-title":"Eur. J. Oper. Res."},{"key":"3_CR7","doi-asserted-by":"publisher","first-page":"108849","DOI":"10.1016\/j.cie.2022.108849","volume":"175","author":"K Fleszar","year":"2023","unstructured":"Fleszar, K.: A new MILP model and fast heuristics for the variable-sized bin packing problem with time windows. Comput. Ind. Eng. 175, 108849 (2023). https:\/\/doi.org\/10.1016\/j.cie.2022.108849","journal-title":"Comput. Ind. Eng."},{"issue":"24","key":"3_CR8","doi-asserted-by":"publisher","first-page":"12766","DOI":"10.3390\/app122412766","volume":"12","author":"Z Gomolka","year":"2022","unstructured":"Gomolka, Z., Dudek-Dyduch, E., Zeslawska, E.: Generalization of ALMM based learning method for planning and scheduling. Appl. Sci. 12(24), 12766 (2022). https:\/\/doi.org\/10.3390\/app122412766","journal-title":"Appl. Sci."},{"key":"3_CR9","doi-asserted-by":"publisher","first-page":"116975","DOI":"10.1016\/j.eswa.2022.116975","volume":"199","author":"Z Gomolka","year":"2022","unstructured":"Gomolka, Z., Twarog, B., Zeslawska, E., Dudek-Dyduch, E.: Knowledge base component of intelligent ALMM system based on the ontology approach. Exp. Syst. Appl. 199, 116975 (2022)","journal-title":"Exp. Syst. Appl."},{"key":"3_CR10","doi-asserted-by":"publisher","unstructured":"Grobler-Debska, K., Kucharska, E., Baranowski, J.: Formal scheduling method for zero-defect manufacturing. Int. J. Adv. Manuf. Technol., 4139\u20134159 (2022). https:\/\/doi.org\/10.21203\/rs.3.rs-315238\/v1","DOI":"10.21203\/rs.3.rs-315238\/v1"},{"key":"3_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2023.06.028","author":"M Haouari","year":"2023","unstructured":"Haouari, M., Mhiri, M.: Lower and upper bounding procedures for the bin packing problem with concave loading cost. Eur. J. Oper. Res. (2023). https:\/\/doi.org\/10.1016\/j.ejor.2023.06.028","journal-title":"Eur. J. Oper. Res."},{"issue":"3","key":"3_CR12","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1080\/24751839.2017.1347418","volume":"1","author":"S Korzonek","year":"2017","unstructured":"Korzonek, S., Dudek-Dyduch, E.: Component library of problem models for ALMM solver. J. Inf. Telecommun. 1(3), 224\u2013240 (2017). https:\/\/doi.org\/10.1080\/24751839.2017.1347418","journal-title":"J. Inf. Telecommun."},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Martinovic, J., Strasdat, N., Val\u00e9rio de Carvalho, J., Furini, F.: A combinatorial flow-based formulation for temporal bin packing problems. Eur. J. Oper. Res. 307(2), 554\u2013574 (2023)","DOI":"10.1016\/j.ejor.2022.10.012"},{"issue":"1","key":"3_CR14","doi-asserted-by":"publisher","first-page":"150","DOI":"10.2514\/1.5791","volume":"28","author":"TW McLain","year":"2005","unstructured":"McLain, T.W., Beard, R.W.: Coordination variables, coordination functions, and cooperative timing missions. J. Guid. Control. Dyn. 28(1), 150\u2013161 (2005)","journal-title":"J. Guid. Control. Dyn."},{"issue":"1","key":"3_CR15","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.ejor.2022.02.019","volume":"303","author":"A Missaoui","year":"2022","unstructured":"Missaoui, A., Ruiz, R.: A parameter-less iterated greedy method for the hybrid flowshop scheduling problem with setup times and due date windows. Eur. J. Oper. Res. 303(1), 99\u2013113 (2022). https:\/\/doi.org\/10.1016\/j.ejor.2022.02.019","journal-title":"Eur. J. Oper. Res."},{"key":"3_CR16","doi-asserted-by":"publisher","first-page":"114854","DOI":"10.1016\/j.eswa.2021.114854","volume":"177","author":"M Moshref-Javadi","year":"2021","unstructured":"Moshref-Javadi, M., Winkenbach, M.: Applications and research avenues for drone-based models in logistics: a classification and review. Exp. Syst. Appl. 177, 114854 (2021)","journal-title":"Exp. Syst. Appl."},{"key":"3_CR17","unstructured":"SESAR: eATM Portal. https:\/\/www.atmmasterplan.eu\/"}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8138-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T17:30:12Z","timestamp":1710351012000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8138-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,26]]},"ISBN":["9789819981373","9789819981380"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8138-0_3","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023,11,26]]},"assertion":[{"value":"26 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changsha","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iconip2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1274","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"650","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"51% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4.14","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.46","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}