{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:23:46Z","timestamp":1742927026694,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319999715"},{"type":"electronic","value":"9783319999722"}],"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\/978-3-319-99972-2_30","type":"book-chapter","created":{"date-parts":[[2018,8,28]],"date-time":"2018-08-28T10:14:23Z","timestamp":1535451263000},"page":"370-378","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Application of an Ant Colony Optimization Algorithm in Modeling the Heat Transfer in Porous Aluminum"],"prefix":"10.1007","author":[{"given":"Rafa\u0142","family":"Brociek","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Damian","family":"S\u0142ota","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mariusz","family":"Kr\u00f3l","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Grzegorz","family":"Matula","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Waldemar","family":"Kwa\u015bny","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,29]]},"reference":[{"key":"30_CR1","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.1016\/j.ejor.2006.06.046","volume":"185","author":"K Socha","year":"2008","unstructured":"Socha, K., Dorigo, M.: Ant colony optimization in continuous domains. Eur. J. Oper. Res. 185, 1155\u20131173 (2008)","journal-title":"Eur. J. Oper. Res."},{"issue":"1","key":"30_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1051\/mmnp\/2018008","volume":"13","author":"Rafa\u0142 Brociek","year":"2018","unstructured":"Brociek, R., S\u0142ota, D.: Reconstruction of the Robin boundary condition and order of derivative in time fractional heat conduction equation. Math. Model. Nat. Phenom. 13 (2018). Article no 5","journal-title":"Mathematical Modelling of Natural Phenomena"},{"key":"30_CR3","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/978-3-319-46254-7_29","volume-title":"Information and Software Technologies","author":"R Brociek","year":"2016","unstructured":"Brociek, R., S\u0142ota, D.: Application of real ant colony optimization algorithm to solve space fractional heat conduction inverse problem. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2016. CCIS, vol. 639, pp. 369\u2013379. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46254-7_29"},{"key":"30_CR4","doi-asserted-by":"publisher","first-page":"35","DOI":"10.2298\/TSCI15S1S35B","volume":"19","author":"R Brociek","year":"2015","unstructured":"Brociek, R., S\u0142ota, D.: Reconstruction of the boundary condition for the heat conduction equation of fractional order. Therm. Sci. 19, 35\u201342 (2015)","journal-title":"Therm. Sci."},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1137\/15M1019301","volume":"56","author":"S Chen","year":"2016","unstructured":"Chen, S., Liu, F., Jiang, X., Turner, I., Burrage, K.: Fast finite difference approximation for identifying parameters in a two-dimensional space-fractional nonlocal model with variable diffusivity coefficients. SIAM J. Numer. Anal. 56, 606\u2013624 (2016)","journal-title":"SIAM J. Numer. Anal."},{"key":"30_CR6","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.cam.2018.02.029","volume":"339","author":"A Dabiri","year":"2018","unstructured":"Dabiri, A., Moghaddam, P.B., Machado, J.A.T.: Optimal variable-order fractional PID controllers for dynamical systems. J. Comput. Appl. Math. 339, 40\u201348 (2018)","journal-title":"J. Comput. Appl. Math."},{"key":"30_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-72703-3","volume-title":"Functional Fractional Calculus for System Identification and Controls","author":"S Das","year":"2008","unstructured":"Das, S.: Functional Fractional Calculus for System Identification and Controls. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-72703-3"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.cnsns.2017.04.001","volume":"51","author":"C Ionescu","year":"2017","unstructured":"Ionescu, C., Lopes, A., Copot, D., Machado, J.A.T., Bates, J.H.T.: The role of fractional calculus in modelling biological phenomena: a review. Commun. Nonlin. Sci. Numer. Simul. 51, 141\u2013159 (2017)","journal-title":"Commun. Nonlin. Sci. Numer. Simul."},{"key":"30_CR9","doi-asserted-by":"publisher","first-page":"4891","DOI":"10.1016\/j.apm.2015.12.020","volume":"40","author":"MI Ismailov","year":"2016","unstructured":"Ismailov, M.I., Cicek, M.: Inverse source problem for a time-fractional diffusion equation with nonlocal boundary conditions. Appl. Math. Model. 40, 4891\u20134899 (2016)","journal-title":"Appl. Math. Model."},{"unstructured":"Obr\u0105czka, A., Kowalski, J.: Modeling the distribution of heat in the ceramic materials using fractional differential equations. In: Szczygie\u0142, M. (eds.) Materia\u0142y XV Jubileuszowego Sympozjum \u201ePodstawowe Problemy Energoelektroniki, Elektromechaniki i Mechatroniki\u201d, PPEEm 2012, Archiwum Konferencji PTETiS, Komitet Organizacyjny Sympozjum PPEE i Seminarium BSE, vol. 32, pp. 132\u2013133 (2012). (in polish)","key":"30_CR10"},{"key":"30_CR11","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.cam.2018.01.027","volume":"339","author":"L Xiaoran","year":"2018","unstructured":"Xiaoran, L., Shangbo, Z., Hua, L., Hongbin, T., Ying, Q.: Rhythm oscillation in fractional-order Relaxation oscillator and its application in image enhancement. J. Comput. Appl. Math. 339, 69\u201384 (2018)","journal-title":"J. Comput. Appl. Math."},{"key":"30_CR12","first-page":"73","volume":"4","author":"R Brociek","year":"2014","unstructured":"Brociek, R.: Implicit finite difference method for time fractional diffusion equations with mixed boundary conditions. Zeszyty Naukowe Politechniki \u015al\u0105skiej, Matematyka Stosowana 4, 73\u201387 (2014)","journal-title":"Zeszyty Naukowe Politechniki \u015al\u0105skiej, Matematyka Stosowana"},{"key":"30_CR13","volume-title":"Fractional Dynamics: Resent Advances","author":"J Klafter","year":"2012","unstructured":"Klafter, J., Lim, S., Metzler, R.: Fractional Dynamics: Resent Advances. World Scientific, New Jersey (2012)"},{"key":"30_CR14","volume-title":"Fractional Differential Equations","author":"I Podlubny","year":"1999","unstructured":"Podlubny, I.: Fractional Differential Equations. Academic Press, San Diego (1999)"},{"key":"30_CR15","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1016\/j.ijheatmasstransfer.2016.11.101","volume":"107","author":"M Cui","year":"2017","unstructured":"Cui, M., Zhao, Y., Xu, B., Gao, X.: A new approach for determining damping factors in Levenberg-Marquardt algorithm for solving an inverse heat conduction problem. Int. J. Heat Mass Transf. 107, 747\u2013754 (2017)","journal-title":"Int. J. Heat Mass Transf."},{"key":"30_CR16","doi-asserted-by":"publisher","first-page":"643","DOI":"10.2298\/TSCI120826051H","volume":"17","author":"E Hetmaniok","year":"2013","unstructured":"Hetmaniok, E., Nowak, I., S\u0142ota, D., Witu\u0142a, R., Zielonka, A.: Solution of the inverse heat conduction problem with Neumann boundary condition by using the homotopy perturbation method. Therm. Sci. 17, 643\u2013650 (2013)","journal-title":"Therm. Sci."},{"key":"30_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1007\/978-3-319-32152-3_27","volume-title":"Parallel Processing and Applied Mathematics","author":"E Hetmaniok","year":"2016","unstructured":"Hetmaniok, E., S\u0142ota, D., Zielonka, A.: Parallel procedure based on the swarm intelligence for solving the two-dimensional inverse problem of binary alloy solidification. In: Wyrzykowski, R., Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., Wiatr, K. (eds.) PPAM 2015. LNCS, vol. 9574, pp. 287\u2013297. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-32152-3_27"},{"key":"30_CR18","doi-asserted-by":"publisher","first-page":"1369","DOI":"10.1007\/s00231-015-1654-8","volume":"52","author":"E Hetmaniok","year":"2016","unstructured":"Hetmaniok, E.: Inverse problem for the solidification of binary alloy in the casting mould solved by using the bee optimization algorithm. Heat Mass Transf. 52, 1369\u20131379 (2016)","journal-title":"Heat Mass Transf."},{"key":"30_CR19","doi-asserted-by":"publisher","first-page":"1492","DOI":"10.1016\/j.camwa.2006.05.027","volume":"53","author":"D Murio","year":"2007","unstructured":"Murio, D.: Stable numerical solution of a fractional-diffusion inverse heat conduction problem. Comput. Math. Appl. 53, 1492\u20131501 (2007)","journal-title":"Comput. Math. Appl."},{"key":"30_CR20","first-page":"238","volume":"42","author":"D Birvinskas","year":"2013","unstructured":"Birvinskas, D., Jusas, V., Martisius, I., Damasevicius, R.: Data compression of EEG signals for artificial neural network classification. Inf. Technol. Control 42, 238\u2013241 (2013)","journal-title":"Inf. Technol. Control"},{"key":"30_CR21","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1080\/17415977.2016.1209748","volume":"25","author":"R Das","year":"2017","unstructured":"Das, R., Akay, B., Singla, R.K., Singh, K.: Application of artificial bee colony algorithm for inverse modelling of a solar collector. Inverse Prob. Sci. Eng. 25, 887\u2013908 (2017)","journal-title":"Inverse Prob. Sci. Eng."},{"key":"30_CR22","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.neucom.2017.01.016","volume":"235","author":"B Jafrasteh","year":"2017","unstructured":"Jafrasteh, B., Fathianpour, N.: A hybrid simultaneous perturbation artificial bee colony and back-propagation algorithm for training a local linear radial basis neural network on ore grade estimation. Neurocomputing 235, 217\u2013227 (2017)","journal-title":"Neurocomputing"},{"key":"30_CR23","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.neunet.2017.04.013","volume":"93","author":"M Wo\u017aniak","year":"2017","unstructured":"Wo\u017aniak, M., Po\u0142ap, D.: Hybrid neuro-heuristic methodology for simulation and control of dynamic systems over time interval. Neural Netw. 93, 45\u201356 (2017). https:\/\/doi.org\/10.1016\/j.neunet.2017.04.013","journal-title":"Neural Netw."},{"key":"30_CR24","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.amc.2009.03.090","volume":"214","author":"D Karaboga","year":"2009","unstructured":"Karaboga, D., Akay, B.: A comparative study of artificial bee colony algorithm. Appl. Math. Comput. 214, 108\u2013132 (2009)","journal-title":"Appl. Math. Comput."},{"key":"30_CR25","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga, D., Basturk, B.: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. Glob. Optim. 39, 459\u2013471 (2007)","journal-title":"J. Glob. Optim."},{"issue":"10","key":"30_CR26","doi-asserted-by":"publisher","first-page":"203:1","DOI":"10.3390\/sym9100203","volume":"9","author":"D Po\u0142ap","year":"2017","unstructured":"Po\u0142ap, D., Wo\u017aniak, M.: Polar bear optimization algorithm: meta-heuristic with fast population movement and dynamic birth and death mechanism. Symmetry 9(10), 203:1\u2013203:20 (2017). https:\/\/doi.org\/10.3390\/sym9100203","journal-title":"Symmetry"},{"key":"30_CR27","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.neunet.2017.10.009","volume":"98","author":"M Wo\u017aniak","year":"2018","unstructured":"Wo\u017aniak, M., Po\u0142ap, D.: Adaptive neuro-heuristic hybrid model for fruit peel defects detection. Neural Netw. 98, 16\u201333 (2018). https:\/\/doi.org\/10.1016\/j.neunet.2017.10.009","journal-title":"Neural Netw."},{"issue":"2","key":"30_CR28","doi-asserted-by":"publisher","first-page":"293:1","DOI":"10.3390\/app8020293","volume":"8","author":"D Po\u0142ap","year":"2018","unstructured":"Po\u0142ap, D., K\u0119sik, K., Wo\u017aniak, M., Dama\u0161evi\u010dius, R.: Parallel technique for the metaheuristic algorithms using devoted local search and manipulating the solutions space. Appl. Sci. 8(2), 293:1\u2013293:25 (2018). https:\/\/doi.org\/10.3390\/app8020293","journal-title":"Appl. Sci."}],"container-title":["Communications in Computer and Information Science","Information and Software Technologies"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99972-2_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,30]],"date-time":"2022-08-30T16:55:57Z","timestamp":1661878557000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-99972-2_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319999715","9783319999722"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99972-2_30","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"ICIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information and Software Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vilnius","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lithuania","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":"4 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icist2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icist.if.ktu.lt\/index.php\/ICIST","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Open Journal System","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"124","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"48","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"39% - 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"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}