{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:46:43Z","timestamp":1742978803550,"version":"3.40.3"},"publisher-location":"Cham","reference-count":42,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031488788"},{"type":"electronic","value":"9783031488795"}],"license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"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\/978-3-031-48879-5_12","type":"book-chapter","created":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T08:03:12Z","timestamp":1701244992000},"page":"142-155","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Chaotic Quasi-Oppositional Moth Flame Optimization for\u00a0Solving Multi-objective Optimal DG Emplacement Problem in\u00a0Radial Distribution Network"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7701-0360","authenticated-orcid":false,"given":"Sneha","family":"Sultana","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1801-8546","authenticated-orcid":false,"given":"Sourav","family":"Paul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anupriya","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ankita","family":"Kumari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3433-5808","authenticated-orcid":false,"given":"Provas Kumar","family":"Roy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,30]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Robert, F.C., Gopalan, S.: Low cost, highly reliable rural electrification through a combination of grid extension and local renewable energy generation. Sustain. Cities Soc. 42, 344\u2013354 (2018)","DOI":"10.1016\/j.scs.2018.02.010"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Viral, R., Khatod, D.K.: An analytical approach for sizing and siting of DGs in balanced radial distribution networks for loss minimization. Int. J. Electr. Power Energy Syst. 67, 191\u2013201 (2015)","DOI":"10.1016\/j.ijepes.2014.11.017"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Hung, D.Q., Mithulananthan, N., Lee, K.Y.: Optimal placement of dispatchable and nondispatchable renewable DG units in distribution networks for minimizing energy loss. Int. J. Electr. Power Energy Syst. 55, 179\u2013186 (2014)","DOI":"10.1016\/j.ijepes.2013.09.007"},{"issue":"10","key":"12_CR4","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1016\/j.ijepes.2006.02.013","volume":"28","author":"N Acharya","year":"2006","unstructured":"Acharya, N., Mahat, P., Mithulananthan, N.: An analytical approach for DG allocation in primary distribution network. Int. J. Electric. Power Energy Syst. 28(10), 669\u2013678 (2006)","journal-title":"Int. J. Electric. Power Energy Syst."},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Mirzaei, M., Jasni, J., Hizam, H., Wahab, N.I.A., Mohamed, S.E.G.: An analytical method for optimal sizing of different types of dg in a power distribution system. In: 2014 IEEE International Conference on Power and Energy (PECon), pp. 309\u2013314. IEEE (2014)","DOI":"10.1109\/PECON.2014.7062462"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Dul\u0103u, L.I., Abrudean, M., Bic\u0103, D.: Optimal location of a distributed generator for power losses improvement. Procedia Technol. 22, 734\u2013739 (2016)","DOI":"10.1016\/j.protcy.2016.01.032"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Vijay Babu, P., Singh, S.P.: Optimal placement of DG in distribution network for power loss minimization using NLP & PLS technique. Energy Procedia 90, 441\u2013454 (2016)","DOI":"10.1016\/j.egypro.2016.11.211"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Injeti, S.K., Prema Kumar, N.: A novel approach to identify optimal access point and capacity of multiple DGs in a small, medium and large scale radial distribution systems. Int. J. Electric. Power Energy Syst. 45(1), 142\u2013151 (2013)","DOI":"10.1016\/j.ijepes.2012.08.043"},{"key":"12_CR9","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1016\/j.ijepes.2013.05.047","volume":"53","author":"P Kayal","year":"2013","unstructured":"Kayal, P., Chanda, C.K.: Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement. Int. J. Electric. Power Energy Syst. 53, 795\u2013809 (2013)","journal-title":"Int. J. Electric. Power Energy Syst."},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Zongo, O.A., Oonsivilai, A.: Optimal placement of distributed generator for power loss minimization and voltage stability improvement. Energy Procedia 138, 134\u2013139 (2017)","DOI":"10.1016\/j.egypro.2017.10.080"},{"key":"12_CR11","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.egypro.2018.10.030","volume":"153","author":"TS Tawfeek","year":"2018","unstructured":"Tawfeek, T.S., Ahmed, A.H., Hasan, S.: Analytical and particle swarm optimization algorithms for optimal allocation of four different distributed generation types in radial distribution networks. Energy Procedia 153, 86\u201394 (2018)","journal-title":"Energy Procedia"},{"key":"12_CR12","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/j.ijepes.2018.03.038","volume":"101","author":"H HassanzadehFard","year":"2018","unstructured":"HassanzadehFard, H., Jalilian, A.: Optimal sizing and location of renewable energy based DG units in distribution systems considering load growth. Int. J. Electric. Power Energy Syst. 101, 356\u2013370 (2018)","journal-title":"Int. J. Electric. Power Energy Syst."},{"key":"12_CR13","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1016\/j.protcy.2016.08.173","volume":"25","author":"DB Prakash","year":"2016","unstructured":"Prakash, D.B., Lakshminarayana, C.: Multiple DG placements in distribution system for power loss reduction using PSO algorithm. Procedia Technol. 25, 785\u2013792 (2016)","journal-title":"Procedia Technol."},{"key":"12_CR14","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1016\/j.egypro.2018.10.073","volume":"153","author":"AH Ahmed","year":"2018","unstructured":"Ahmed, A.H., Hasan, S.: Optimal allocation of distributed generation units for converting conventional radial distribution system to loop using particle swarm optimization. Energy Procedia 153, 118\u2013124 (2018)","journal-title":"Energy Procedia"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Zongo, O.A., Oonsivilai, A.: Optimal placement of distributed generator for power loss minimization and voltage stability improvement. Energy Procedia 138, 134\u2013139 (2017)","DOI":"10.1016\/j.egypro.2017.10.080"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Din, F.U, Ahmad, A., Ullah, H., Khan, A., Umer, T., Wan, S.: Efficient sizing and placement of distributed generators in cyber-physical power systems. J. Syst. Architect. 97, 197\u2013207 (2019)","DOI":"10.1016\/j.sysarc.2018.12.004"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Kanaan, H.A.M., EL-Gazaar, M.M., Mehanna, A.: Optimal location and sizing of SVC considering system losses, voltage division and system overload. J. Al-Azhar Univ. Eng. Sect. 15(57), 1040\u20131051 (2020)","DOI":"10.21608\/auej.2020.120371"},{"key":"12_CR18","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.ijepes.2019.04.044","volume":"112","author":"Q Zhao","year":"2019","unstructured":"Zhao, Q., Wang, S., Wang, K., Huang, B.: Multi-objective optimal allocation of distributed generations under uncertainty based on ds evidence theory and affine arithmetic. Int. J. Electric. Power Energy Syst. 112, 70\u201382 (2019)","journal-title":"Int. J. Electric. Power Energy Syst."},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Sultana, S., Roy, P.K.: Multi-objective quasi-oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems. Int. J. Electric. Power Energy Syst. 63, 534\u2013545 (2014)","DOI":"10.1016\/j.ijepes.2014.06.031"},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Nguyen, T.T., Truong, A.V., Phung, T.A.: A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network. Int. J. Electric. Power Energy Syst. 78, 801\u2013815 (2016)","DOI":"10.1016\/j.ijepes.2015.12.030"},{"key":"12_CR21","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.ijepes.2015.11.019","volume":"78","author":"K Muthukumar","year":"2016","unstructured":"Muthukumar, K., Jayalalitha, S.: Optimal placement and sizing of distributed generators and shunt capacitors for power loss minimization in radial distribution networks using hybrid heuristic search optimization technique. Int. J. Electric. Power Energy Syst. 78, 299\u2013319 (2016)","journal-title":"Int. J. Electric. Power Energy Syst."},{"key":"12_CR22","unstructured":"Hashemi Zadeh, S.A., Zeidabadi Nejad, O., Hasani, S., Gharaveisi, A.A., Shahgholian, G.H.: Optimal DG placement for power loss reduction and improvement voltage profile using smart methods. Int. J. Smart Electric. Eng. 1(03), 141\u2013147 (2012)"},{"key":"12_CR23","doi-asserted-by":"crossref","unstructured":"Mahdad, B., Srairi, K.: Adaptive differential search algorithm for optimal location of distributed generation in the presence of SVC for power loss reduction in distribution system. Eng. Sci. Technol. Int. J. 19(3), 1266\u20131282 (2016)","DOI":"10.1016\/j.jestch.2016.03.002"},{"key":"12_CR24","doi-asserted-by":"crossref","unstructured":"Injeti, S.K.: A pareto optimal approach for allocation of distributed generators in radial distribution systems using improved differential search algorithm. J. Electric. Syst. Inf. Technol. 5(3), 908\u2013927 (2018)","DOI":"10.1016\/j.jesit.2016.12.006"},{"key":"12_CR25","doi-asserted-by":"crossref","unstructured":"Othman, M.M., El-Khattam, W., Hegazy, Y.G., Abdelaziz, A.Y.: Optimal placement and sizing of voltage controlled distributed generators in unbalanced distribution networks using supervised firefly algorithm. Int. J. Electric. Power Energy Syst. 82, 105\u2013113 (2016)","DOI":"10.1016\/j.ijepes.2016.03.010"},{"key":"12_CR26","unstructured":"Katamble, S., Palled, S., Gaikwad, V., Shetty, V.: Reconfiguration of distribution system by optimal placement of distributed generator. Int. J. Sci. Eng. Res. 10, 192\u2013197 (2019)"},{"key":"12_CR27","doi-asserted-by":"crossref","unstructured":"Poornazaryan, B., Karimyan, P., Gharehpetian, G.B., Abedi, M.: Optimal allocation and sizing of DG units considering voltage stability, losses and load variations. Int. J. Electric. Power Energy Syst. 79, 42\u201352 (2016)","DOI":"10.1016\/j.ijepes.2015.12.034"},{"key":"12_CR28","doi-asserted-by":"crossref","unstructured":"Home-Ortiz, J.M., Pourakbari-Kasmaei, M., Lehtonen, M., Mantovani, J.R.S.: Optimal location-allocation of storage devices and renewable-based DG in distribution systems. Electric Power Syst. Res. 172, 11\u201321 (2019)","DOI":"10.1016\/j.epsr.2019.02.013"},{"key":"12_CR29","doi-asserted-by":"crossref","unstructured":"Nguyen, T.P., Vo, D.N.: A novel stochastic fractal search algorithm for optimal allocation of distributed generators in radial distribution systems. Appl. Soft Comput. 70, 773\u2013796 (2018)","DOI":"10.1016\/j.asoc.2018.06.020"},{"key":"12_CR30","doi-asserted-by":"crossref","unstructured":"Veera Reddy, V.C., et al.: Optimal renewable resources placement in distribution networks by combined power loss index and whale optimization algorithms. J. Electric. Syst. Inf. Technol. 5(2), 175\u2013191 (2018)","DOI":"10.1016\/j.jesit.2017.05.006"},{"issue":"6","key":"12_CR31","doi-asserted-by":"publisher","first-page":"1744","DOI":"10.3390\/en14061744","volume":"14","author":"M Shahzad","year":"2021","unstructured":"Shahzad, M., Akram, W., Arif, M., Khan, U., Ullah, B.: Optimal siting and sizing of distributed generators by strawberry plant propagation algorithm. Energies 14(6), 1744 (2021)","journal-title":"Energies"},{"key":"12_CR32","doi-asserted-by":"crossref","unstructured":"Kefale, H.A., Getie, E.M., Eshetie, K.G.: Optimal design of grid-connected solar photovoltaic system using selective particle swarm optimization. Int. J. Photoenergy 2021 (2021)","DOI":"10.1155\/2021\/6632859"},{"key":"12_CR33","doi-asserted-by":"crossref","unstructured":"Ketut Suryawan, I., Saputra, I.D.: Optimization of capacitor placement in radial distribution system using integer encoding genetic algorithm. In: 2020 International Conference on Applied Science and Technology (iCAST), pp. 544\u2013548. IEEE (2020)","DOI":"10.1109\/iCAST51016.2020.9557646"},{"key":"12_CR34","doi-asserted-by":"crossref","unstructured":"Tolba, M.A., Zaki Diab, A.A., Tulsky, V.N., Abdelaziz, A.Y.: VLCI approach for optimal capacitors allocation in distribution networks based on hybrid PSOGSA optimization algorithm. Neural Comput. Appl. 31(8), 3833\u20133850 (2019)","DOI":"10.1007\/s00521-017-3327-7"},{"key":"12_CR35","doi-asserted-by":"crossref","unstructured":"Naga Lakshmi, G.V., Jayalaxmi, A., Veeramsetty, V.: Optimal placement of distribution generation in radial distribution system using hybrid genetic dragonfly algorithm. Technol. Econ. Smart Grids Sustain. Energy 6, 1\u201313 (2021)","DOI":"10.1007\/s40866-021-00107-w"},{"key":"12_CR36","doi-asserted-by":"crossref","unstructured":"Gangil, G., Goyal, S.K., Srivastava, M.: Optimal placement of DG for power losses minimization in radial distribution system using backward forward sweep algorithm. In: 2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE), pp. 1\u20136. IEEE (2020)","DOI":"10.1109\/ICADEE51157.2020.9368941"},{"key":"12_CR37","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.knosys.2015.07.006","volume":"89","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili, S.: Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm. Knowl.-Based Syst. 89, 228\u2013249 (2015)","journal-title":"Knowl.-Based Syst."},{"key":"12_CR38","doi-asserted-by":"crossref","unstructured":"Tizhoosh, H.R.: Opposition-based learning: a new scheme for machine intelligence. In: International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC 2006), vol. 1, pp. 695\u2013701. IEEE (2005)","DOI":"10.1109\/CIMCA.2005.1631345"},{"key":"12_CR39","doi-asserted-by":"crossref","unstructured":"Kashem, M.A., Ganapathy, V., Jasmon, G.B., Buhari, M.I.: A novel method for loss minimization in distribution networks. In: DRPT2000. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. Proceedings (Cat. No. 00EX382), pp. 251\u2013256. IEEE (2000)","DOI":"10.1109\/DRPT.2000.855672"},{"key":"12_CR40","doi-asserted-by":"crossref","unstructured":"Moradi, M.H., Abedini, M.: A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. Int. J. Electric. Power Energy Syst. 34(1), 66\u201374 (2012)","DOI":"10.1016\/j.ijepes.2011.08.023"},{"key":"12_CR41","doi-asserted-by":"crossref","unstructured":"Chakravorty, M., Das, D.: Voltage stability analysis of radial distribution networks. Int. J. Electric. Power Energy Syst. 23(2), 129\u2013135 (2001)","DOI":"10.1016\/S0142-0615(00)00040-5"},{"issue":"5\u20136","key":"12_CR42","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1016\/j.epsr.2006.06.005","volume":"77","author":"D Zhang","year":"2007","unstructured":"Zhang, D., Zhengcai, F., Zhang, L.: An improved TS algorithm for loss-minimum reconfiguration in large-scale distribution systems. Electric Power Syst. Res. 77(5\u20136), 685\u2013694 (2007)","journal-title":"Electric Power Syst. Res."}],"container-title":["Communications in Computer and Information Science","Computational Intelligence in Communications and Business Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-48879-5_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T06:56:34Z","timestamp":1730703394000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-48879-5_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"ISBN":["9783031488788","9783031488795"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-48879-5_12","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023,11,30]]},"assertion":[{"value":"30 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICBA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Intelligence in Communications and Business Analytics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kalyani","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","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":"27 January 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 January 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cicba2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cicba.in","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 (provided by the conference organizers)"}},{"value":"https:\/\/easychair.org\/","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"187","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":"52","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":"28% - 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":"2.6","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":"2.5","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)"}}]}}