{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:07:41Z","timestamp":1759334861831,"version":"build-2065373602"},"publisher-location":"Singapore","reference-count":30,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819509812"},{"type":"electronic","value":"9789819509829"}],"license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-0982-9_12","type":"book-chapter","created":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T22:20:43Z","timestamp":1759270843000},"page":"140-155","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Quantum-Enhanced Harris Hawks Optimization: A Next-Generation Metaheuristic"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2253-4591","authenticated-orcid":false,"given":"Sanjai","family":"Pathak","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2312-1185","authenticated-orcid":false,"given":"Ashish","family":"Mani","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5897-8624","authenticated-orcid":false,"given":"Amlan","family":"Chatterjee","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,10,1]]},"reference":[{"key":"12_CR1","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.advengsoft.2013.03.001","volume":"59","author":"W Hare","year":"2013","unstructured":"Hare, W., Nutini, J., Tesfamariam, S.: A survey of non-gradient optimization methods in structural engineering. Adv. Eng. Softw. 59, 19\u201328 (2013)","journal-title":"Adv. Eng. Softw."},{"issue":"1","key":"12_CR2","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/0167-8191(88)90098-1","volume":"7","author":"H M\u00fchlenbein","year":"1988","unstructured":"M\u00fchlenbein, H., Gorges-Schleuter, M., Kr\u00e4mer, O.: Evolution algorithms in combinatorial optimization. Parallel Comput. 7(1), 65\u201385 (1988)","journal-title":"Parallel Comput."},{"issue":"1","key":"12_CR3","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1038\/scientificamerican0792-66","volume":"267","author":"JH Holland","year":"1992","unstructured":"Holland, J.H.: Genetic algorithms. Sci. Am. 267(1), 66\u201373 (1992)","journal-title":"Sci. Am."},{"key":"12_CR4","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1023\/A:1008202821328","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn, R., Price, K.: Differential evolution \u2013 a simple and efficient heuristic for global optimization over continuous spaces. J. Global Optim. 11, 341\u2013359 (1997)","journal-title":"J. Global Optim."},{"key":"12_CR5","volume-title":"Evolution Strategy: Optimization of Technical Systems by Means of Biological Evolution, 104","author":"I Rechenberg","year":"1973","unstructured":"Rechenberg, I.: Evolution Strategy: Optimization of Technical Systems by Means of Biological Evolution, 104. Fromman-Holzboog, Stuttgart (1973)"},{"issue":"2","key":"12_CR6","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1177\/003754970107600201","volume":"76","author":"ZW Geem","year":"2001","unstructured":"Geem, Z.W., Kim, J., Loganathan, G.V.: A new heuristic optimization algorithm: harmony search. Trans. Simul. 76(2), 60\u201368 (2001)","journal-title":"Trans. Simul."},{"issue":"220","key":"12_CR7","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"1979","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 1979(220), 671\u2013680 (1983)","journal-title":"Science"},{"issue":"13","key":"12_CR8","doi-asserted-by":"publisher","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi, E., Nezamabadi-pour, H., Saryazdi, S.: GSA: a gravitational search algorithm. Inf. Sci. 179(13), 2232\u20132248 (2009)","journal-title":"Inf. Sci."},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Krause, J., Cordeiro, J., Parpinelli, R.S., Lopes, H.S.: A survey of swarm algorithms applied to discrete optimization problems. In: Swarm Intelligence and Bio-Inspired Computation: Theory and Applications. Elsevier Sci. Technol. Books, pp. 169\u2013191 (2013)","DOI":"10.1016\/B978-0-12-405163-8.00007-7"},{"key":"12_CR10","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of ICNN\u201995 - International Conference on Neural Networks, Perth, WA, Australia (1995)"},{"key":"12_CR11","unstructured":"Colorni, A., Dorigo, M., Maniezzo, V.: Distributed optimization by ant colonies. In: Proceedings of the First European Conference on Artificial Life, pp. 134\u201342 (1991)"},{"key":"12_CR12","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","volume":"114","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili, S., Gandomi, A.H., Mirjalili, S.Z., Saremi, S., Faris, H., Mirjalili, S.M.: SALP swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv. Eng. Softw. 114, 163\u2013191 (2017)","journal-title":"Adv. Eng. Softw."},{"key":"12_CR13","doi-asserted-by":"publisher","unstructured":"Heidari, A.A., et al.: optimization: algorithm and applications. Future Gen. Comput. Syst. 97, 849\u2013872 (2019). https:\/\/doi.org\/10.1016\/j.future.2019.02.028","DOI":"10.1016\/j.future.2019.02.028"},{"key":"12_CR14","doi-asserted-by":"publisher","unstructured":"Ryalat, M.H., Dorgham, O., Tedmori, S., et al.: Harris hawks optimization for COVID-19 diagnosis based on multi-threshold image segmentation. Neural Comput. Appl. 35, 6855\u20136873 (2023). https:\/\/doi.org\/10.1007\/s00521-022-08078-4","DOI":"10.1007\/s00521-022-08078-4"},{"key":"12_CR15","doi-asserted-by":"publisher","unstructured":"Turabieh, H., Azwari, S.A., Rokaya, M., et al.: Enhanced Harris Hawks optimization as a feature selection for the prediction of student performance. Computing 103, 1417\u20131438 (2021). https:\/\/doi.org\/10.1007\/s00607-020-00894-7","DOI":"10.1007\/s00607-020-00894-7"},{"key":"12_CR16","doi-asserted-by":"publisher","unstructured":"Ouyang, C., Liao, C., Zhu, D., et al.: Integrated improved Harris hawks optimization for global and engineering optimization. Sci. Rep. 14, 7445 (2024). https:\/\/doi.org\/10.1038\/s41598-024-58029-3","DOI":"10.1038\/s41598-024-58029-3"},{"issue":"15","key":"12_CR17","doi-asserted-by":"publisher","first-page":"8939","DOI":"10.1007\/s00521-021-05720-5","volume":"33","author":"HM Alabool","year":"2021","unstructured":"Alabool, H.M., Alarabiat, D., Abualigah, L., Heidari, A.A.: Harris hawks optimization: a comprehensive review of recent variants and applications. Neural Comput. Appl. 33(15), 8939\u20138980 (2021). https:\/\/doi.org\/10.1007\/s00521-021-05720-5","journal-title":"Neural Comput. Appl."},{"key":"12_CR18","unstructured":"Awad, N.H., Ali, M.Z., Liang, J.J., Qu, B.Y., Suganthan, P.N.: Problem Definitions and Evaluation Criteria for the CEC 2017 Special Session and Competition on Single Objective Bound Constrained Real-Parameter Numerical Optimization. Technical Report, Nanyang Technological University, Singapore (2016)"},{"issue":"1","key":"12_CR19","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1109\/TPWRS.2009.2030359","volume":"25","author":"K Meng","year":"2010","unstructured":"Meng, K., Wang, H.G., Dong, Z., Wong, K.P.: Quantum-inspired particle swarm optimization for valve-point economic load dispatch. IEEE Trans. Power Syst. 25(1), 215\u2013222 (2010). https:\/\/doi.org\/10.1109\/TPWRS.2009.2030359","journal-title":"IEEE Trans. Power Syst."},{"key":"12_CR20","doi-asserted-by":"publisher","unstructured":"Du, F.-F., Li, T., Long, G.-L.: Refined hyperentanglement purification of two-photon systems for high-capacity quantum communication with cavity-assisted interaction. Ann. Phys. 375, 105\u2013118 (2016). ISSN 0003-4916. https:\/\/doi.org\/10.1016\/j.aop.2016.09.009","DOI":"10.1016\/j.aop.2016.09.009"},{"key":"12_CR21","doi-asserted-by":"crossref","unstructured":"Vaze, R., Deshmukh, N., Kumar, R., Saxena, A.: Development and application of quantum entanglement inspired particle swarm optimization. Knowl. Based Syst. 219 (2021)","DOI":"10.1016\/j.knosys.2021.106859"},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Du, P., Wang, J., Hao, Y., Niu, T., Yang, W.: A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting. Appl. Soft Comput. 96, 106620 (2020)","DOI":"10.1016\/j.asoc.2020.106620"},{"issue":"12","key":"12_CR23","doi-asserted-by":"publisher","first-page":"1421","DOI":"10.3390\/rs11121421","volume":"11","author":"H Jia","year":"2019","unstructured":"Jia, H., Lang, C., Oliva, D., Song, W., Peng, X.: Dynamic Harris hawks optimization with mutation mechanism for satellite image segmentation. Remote Sens. 11(12), 1421 (2019)","journal-title":"Remote Sens."},{"key":"12_CR24","doi-asserted-by":"crossref","unstructured":"Bao, X., Jia, H., Lang, C.: A novel hybrid Harris hawks optimization for color image multilevel thresholding Seg-mentation. IEEE Access 7, 76529\u201376546 (2019)","DOI":"10.1109\/ACCESS.2019.2921545"},{"key":"12_CR25","doi-asserted-by":"crossref","unstructured":"Wunnava, A., Naik, M.K., Panda, R., Jena, B., Abraham, A.: An adaptive Harris hawks optimization technique for two dimensional grey gradient based multilevel image thresholding. Appl. Soft Comput. 95, 106526 (2020)","DOI":"10.1016\/j.asoc.2020.106526"},{"key":"12_CR26","doi-asserted-by":"crossref","unstructured":"Sihwail, R., Omar, K., Ariffi, K.A.Z., Tubishat, M.: Improved Harris hawks optimization using elite opposition-based learning and novel search mechanism for feature selection. IEEE Access 8, 121:127\u2013121:145 (2020)","DOI":"10.1109\/ACCESS.2020.3006473"},{"key":"12_CR27","doi-asserted-by":"publisher","first-page":"13236","DOI":"10.1109\/ACCESS.2017.2723538","volume":"5","author":"S-Y Kuo","year":"2017","unstructured":"Kuo, S.-Y., Chou, Y.-H.: Entanglement-enhanced quantum-inspired Tabu search algorithm for function optimization. IEEE Access 5, 13236\u201313252 (2017)","journal-title":"IEEE Access"},{"key":"12_CR28","unstructured":"Sun, J., Feng, B., Xu, W.: Particle swarm optimization with particles having quantum behavior. In: Proceedings of Congress on Evolutionary Computation, vol. 1, pp. 325\u2013331 (2004)"},{"key":"12_CR29","doi-asserted-by":"publisher","unstructured":"Kumar, A., Misra, R.K., Singh, D.: Improving the local search capability of effective butterfly optimizer using covariance matrix adapted retreat phase. In: IEEE Congress on Evolutionary Computation (CEC). Donostia, Spain, vol. 2017, pp. 1835\u20131842 (2017). https:\/\/doi.org\/10.1109\/CEC.2017.796952","DOI":"10.1109\/CEC.2017.796952"},{"issue":"10","key":"12_CR30","doi-asserted-by":"publisher","first-page":"2636","DOI":"10.1080\/03610918.2014.931971","volume":"44","author":"DG Pereira","year":"2015","unstructured":"Pereira, D.G., Afonso, A., Medeiros, F.M.: Overview of Friedman\u2019s test and Post-Hoc analysis. Commun. Stat. - Simul. Comput. 44(10), 2636\u20132653 (2015)","journal-title":"Commun. Stat. - Simul. Comput."}],"container-title":["Lecture Notes in Computer Science","Advances in Swarm Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-0982-9_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T22:20:48Z","timestamp":1759270848000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-0982-9_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,1]]},"ISBN":["9789819509812","9789819509829"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-0982-9_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,10,1]]},"assertion":[{"value":"1 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Swarm Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yokohama","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"swarm2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iasei.org\/icsi2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}