{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T04:46:26Z","timestamp":1726029986289},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030209117"},{"type":"electronic","value":"9783030209124"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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\/978-3-030-20912-4_38","type":"book-chapter","created":{"date-parts":[[2019,5,26]],"date-time":"2019-05-26T23:02:29Z","timestamp":1558911749000},"page":"412-420","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Influence of Social Coefficient on Swarm Motion"],"prefix":"10.1007","author":[{"given":"Bo\u017cena","family":"Borowska","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,24]]},"reference":[{"key":"38_CR1","unstructured":"Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: IEEE International Conference on Neural Networks, Perth, Australia, pp. 1942\u20131948 (1995)"},{"key":"38_CR2","volume-title":"Swarm Intelligence","author":"J Kennedy","year":"2001","unstructured":"Kennedy, J., Eberhart, R.C., Shi, Y.: Swarm Intelligence. Morgan Kaufmann Publishers, San Francisco (2001)"},{"key":"38_CR3","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1109\/TAP.2004.823969","volume":"52","author":"J Robinson","year":"2004","unstructured":"Robinson, J., Rahmat-Samii, Y.: Particle swarm optimization in electromagnetics. IEEE Trans. Antennas Propag. 52, 397\u2013407 (2004)","journal-title":"IEEE Trans. Antennas Propag."},{"key":"38_CR4","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1016\/j.asoc.2015.10.048","volume":"40","author":"NB Guedria","year":"2016","unstructured":"Guedria, N.B.: Improved accelerated PSO algorithm for mechanical engineering optimization problems. Appl. Soft Comput. 40, 455\u2013467 (2016)","journal-title":"Appl. Soft Comput."},{"key":"38_CR5","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.ress.2014.07.020","volume":"133","author":"A Dolatshahi-Zand","year":"2015","unstructured":"Dolatshahi-Zand, A., Khalili-Damghani, K.: Design of SCADA water resource management control center by a bi-objective redundancy allocation problem and particle swarm optimization. Reliab. Eng. Syst. Saf. 133, 11\u201321 (2015)","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"38_CR6","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.1016\/j.engappai.2013.02.002","volume":"26","author":"I Mazhoud","year":"2013","unstructured":"Mazhoud, I., Hadj-Hamou, K., Bigeon, J., Joyeux, P.: Particle swarm optimization for solving engineering problems: a new constraint-handling mechanism. Eng. Appl. Artif. Intell. 26, 1263\u20131273 (2013)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"38_CR7","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/s00170-011-3496-y","volume":"59","author":"AR Yildiz","year":"2012","unstructured":"Yildiz, A.R., Solanki, K.N.: Multi-objective optimization of vehicle crashworthiness using a new particle swarm based approach. Int. J. Adv. Manuf. Technol. 59, 367\u2013376 (2012)","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"38_CR8","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.epsr.2015.06.019","volume":"128","author":"S Hajforoosh","year":"2015","unstructured":"Hajforoosh, S., Masoum, M.A.S., Islam, S.M.: Real-time charging coordination of plug-in electric vehicles based on hybrid fuzzy discrete particle swarm optimization. Electr. Power Syst. Res. 128, 19\u201329 (2015)","journal-title":"Electr. Power Syst. Res."},{"key":"38_CR9","doi-asserted-by":"publisher","first-page":"2086","DOI":"10.1016\/j.anucene.2011.05.019","volume":"38","author":"RDS Yadav","year":"2011","unstructured":"Yadav, R.D.S., Gupta, H.P.: Optimization studies of fuel loading pattern for a typical Pressurized Water Reactor (PWR) using particle swarm method. Ann. Nucl. Energy 38, 2086\u20132095 (2011)","journal-title":"Ann. Nucl. Energy"},{"key":"38_CR10","doi-asserted-by":"crossref","unstructured":"Puchala D., Stokfiszewski K., Yatsymirskyy M., Szczepaniak B.: Effectiveness of fast Fourier transform implementations on GPU and CPU. In: Proceedings of the 16th International Conference on Computational Problems of Electrical Engineering (CPEE), Ukraine, pp. 162\u2013164 (2015)","DOI":"10.1109\/CPEE.2015.7333365"},{"key":"38_CR11","unstructured":"Shi, Y., Eberhart, R.C.: Empirical study of particle swarm optimization. In: Proceedings of the Congress on Evolutionary Computation, vol. 3, pp. 1945\u20131950 (1999)"},{"key":"38_CR12","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1007\/BFb0040810","volume-title":"EP 1998","author":"Y Shi","year":"1998","unstructured":"Shi, Y., Eberhart, R.C.: Parameter selection in particle swarm optimization. In: Porto, V.W., Saravanan, N., Waagen, D., Eiben, A.E. (eds.) EP 1998. LNCS, vol. 1447, pp. 591\u2013600. Springer, Heidelberg (1998). https:\/\/doi.org\/10.1007\/BFb0040810"},{"key":"38_CR13","unstructured":"Eberhart, R.C., Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of the 6th International Symposium on Micro Machine and Human Science, Japan, pp. 39\u201343 (1995)"},{"key":"38_CR14","unstructured":"Ozcan, E., Mohan, C.K.: Particle swarm optimization: surfing the waves. In: Proceedings of IEEE Congress on Evolutionary Computation, pp. 1944\u20131999 (1999)"},{"key":"38_CR15","unstructured":"Clerc, M.: The swarm and the queen: towards a deterministic and adaptive particle swarm optimization. In: Proceedings of ICEC, Washington, DC, pp. 1951\u20131957 (1999)"},{"key":"38_CR16","doi-asserted-by":"crossref","unstructured":"Venter, G., Sobieszczanski-Sobieski, J.: Particle swarm optimization. In: Proceedings of 43rd AIAA\/ASME\/ASCE\/AHS\/ASC Structure, Structure Dynamics and Materials Conference, pp. 22\u201325 (2002)","DOI":"10.2514\/6.2002-1235"},{"issue":"3","key":"38_CR17","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1109\/TEVC.2004.826071","volume":"8","author":"A Ratnaweera","year":"2004","unstructured":"Ratnaweera, A., Halgamuge, S.K., Watson, H.C.: Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Trans. Evol. Comput. 8(3), 240\u2013255 (2004)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"38_CR18","doi-asserted-by":"publisher","first-page":"1360","DOI":"10.1049\/el.2017.2112","volume":"53","author":"M Ghasemi","year":"2017","unstructured":"Ghasemi, M., Aghaei, J., Hadipour, M.: New self-organising hierarchical PSO with jumping time-varying acceleration coefficients. Electron. Lett. 53, 1360\u20131362 (2017)","journal-title":"Electron. Lett."},{"key":"38_CR19","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/j.ijepes.2009.01.010","volume":"31","author":"KT Chaturvedi","year":"2009","unstructured":"Chaturvedi, K.T., Pandit, M., Srivastava, L.: Particle swarm optimization with time varying acceleration coefficients for non-convex economic power dispatch. Electr. Power Energy Syst. 31, 249\u2013257 (2009)","journal-title":"Electr. Power Energy Syst."},{"key":"38_CR20","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.epsr.2012.08.005","volume":"95","author":"B Mohammadi-Ivatloo","year":"2013","unstructured":"Mohammadi-Ivatloo, B., Moradi-Dalvand, M., Rabiee, A.: Combined heat and power economic dispatch problem solution using particle swarm optimization with time varying acceleration coefficients. Electr. Power Syst. Res. 95, 9\u201318 (2013)","journal-title":"Electr. Power Syst. Res."},{"key":"38_CR21","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.enconman.2016.09.085","volume":"129","author":"AR Jordehi","year":"2016","unstructured":"Jordehi, A.R.: Time Varying Acceleration Coefficients Particle Swarm Optimization (TVACPSO): a new optimization algorithm for estimating parameters of PV cells and modules. Energy Convers. Manag. 129, 262\u2013274 (2016)","journal-title":"Energy Convers. Manag."},{"key":"38_CR22","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1016\/j.energy.2016.07.155","volume":"114","author":"SD Beigvand","year":"2016","unstructured":"Beigvand, S.D., Abdi, H., Scala, M.: Optimal operation of multicarrier energy systems using time varying acceleration coefficient gravitational search algorithm. Energy 114, 253\u2013265 (2016)","journal-title":"Energy"},{"key":"38_CR23","doi-asserted-by":"crossref","unstructured":"Borowska, B.: Social strategy of particles in optimization problems. In: Advances in Intelligent Systems and Computing. Springer (2019, in Press)","DOI":"10.1007\/978-3-030-21803-4_54"},{"key":"38_CR24","doi-asserted-by":"crossref","unstructured":"Mehmood, Y., Sadiq, M., Shahzad, W.: Fitness-based acceleration coefficients to enhance the convergence speed of novel binary particle swarm optimization. In: Proceedings of International Conference on Frontiers of Information Technology (FIT), pp. 355\u2013360 (2018)","DOI":"10.1109\/FIT.2018.00069"},{"key":"38_CR25","doi-asserted-by":"crossref","unstructured":"Guo, L., Chen, X.: A novel particle swarm optimization based on the self-adaptation strategy of acceleration coefficients. In: Proceedings of International Conference on Computational Intelligence and Security, pp. 277\u2013281. IEEE (2009)","DOI":"10.1109\/CIS.2009.91"},{"key":"38_CR26","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.ipl.2007.09.001","volume":"105","author":"X Cai","year":"2008","unstructured":"Cai, X., Cui, Z., Zeng, J., Tan, Y.: Dispersed particle swarm optimization. Inf. Process. Lett. 105, 231\u2013235 (2008)","journal-title":"Inf. Process. Lett."},{"key":"38_CR27","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1016\/j.ins.2014.12.024","volume":"299","author":"G Ardizzon","year":"2015","unstructured":"Ardizzon, G., Cavazzini, G., Pavesi, G.: Adaptive acceleration coefficients for a new search diversification strategy in particle swarm optimization algorithms. Inf. Sci. 299, 337\u2013378 (2015)","journal-title":"Inf. Sci."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20912-4_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T12:16:35Z","timestamp":1574770595000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20912-4_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030209117","9783030209124"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20912-4_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"24 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Soft Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zakopane","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaisc2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icaisc.eu\/About","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":"Own online software","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"333","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"122","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":"37% - 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":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","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"}}]}}