{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T14:30:29Z","timestamp":1780497029077,"version":"3.54.1"},"publisher-location":"Singapore","reference-count":27,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819571376","type":"print"},{"value":"9789819571383","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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\/978-981-95-7138-3_3","type":"book-chapter","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T12:07:39Z","timestamp":1771848459000},"page":"30-42","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Improved Large-Scale Multi-objective Competitive Swarm Optimizer Based on\u00a0Harris Hawks Optimization"],"prefix":"10.1007","author":[{"given":"Jixiang","family":"Zeng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min-Rong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zihua","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeyan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Songxiang","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,2,24]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Liu, Y., Wang, H., Ma, J.: Infill criterion ensemble in multi-objective evolutionary algorithm for mixed-variable problems. In: IEEE Congress on Evolutionary Computation, pp.\u00a01\u20138 (2024)","DOI":"10.1109\/CEC60901.2024.10611850"},{"issue":"3","key":"3_CR2","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1109\/TEVC.2020.3044711","volume":"25","author":"Y Tian","year":"2021","unstructured":"Tian, Y., Liu, R., Zhang, X., Ma, H., Tan, K.C., Jin, Y.: A multipopulation evolutionary algorithm for solving large-scale multimodal multiobjective optimization problems. IEEE Trans. Evol. Comput. 25(3), 405\u2013418 (2021)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Kinoyama, R., Suryanarayanan, N.A.V., Iba, H.: Continual learning of lstm using ant colony optimization. In: IEEE Congress on Evolutionary Computation, pp.\u00a01\u20138 (2023)","DOI":"10.1109\/CEC53210.2023.10253990"},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Yang, J.Q., Du, K.J., Chen, C.H., Wang, H., Zhang, J., Zhan, Z.H.: Evolutionary multitasking bi-directional particle swarm optimization for high-dimensional feature selection. In: IEEE Congress on Evolutionary Computation, pp.\u00a01\u20138 (2023)","DOI":"10.1109\/CEC53210.2023.10254091"},{"key":"3_CR5","doi-asserted-by":"crossref","unstructured":"Zille, H., Mostaghim, S.: Comparison study of large-scale optimisation techniques on the lsmop benchmark functions. In: IEEE Symposium on Series Computer Intelligence, pp.\u00a01\u20138 (2017)","DOI":"10.1109\/SSCI.2017.8280974"},{"key":"3_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119867","volume":"654","author":"X Cai","year":"2024","unstructured":"Cai, X., Wu, L., Zhao, T., Wu, D., Zhang, W., Chen, J.: Dynamic adaptive multi-objective optimization algorithm based on type detection. Inf. Sci. 654, 119867 (2024)","journal-title":"Inf. Sci."},{"key":"3_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122707","volume":"241","author":"X Zhuang","year":"2024","unstructured":"Zhuang, X., et al.: Multi-objective optimization of reservoir development strategy with hybrid artificial intelligence method. Expert Syst. Appl. 241, 122707 (2024)","journal-title":"Expert Syst. Appl."},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Bohrer, J.D.S., Dorn, M.: Enhancing classification with hybrid feature selection: a multi-objective genetic algorithm for high-dimensional data. Expert Syst. Appl. 255, 124518 (2024)","DOI":"10.1016\/j.eswa.2024.124518"},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Zheng, W., Li, M., Deng, R., Doerr, B.: How to use the metropolis algorithm for multi-objective optimization? In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 71\u201372 (2024)","DOI":"10.1145\/3638530.3664078"},{"issue":"2","key":"3_CR10","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1109\/TCYB.2014.2322602","volume":"45","author":"R Cheng","year":"2015","unstructured":"Cheng, R., Jin, Y.: A competitive swarm optimizer for large scale optimization. IEEE Trans. Cybern. 45(2), 191\u2013204 (2015)","journal-title":"IEEE Trans. Cybern."},{"key":"3_CR11","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1016\/j.future.2019.02.028","volume":"97","author":"AA Heidari","year":"2019","unstructured":"Heidari, A.A., Mirjalili, S., Faris, H., Aljarah, I., Mafarja, M., Chen, H.: Harris hawks optimization: algorithm and applications. Future Gener. Comput. Syst. 97, 849\u2013872 (2019)","journal-title":"Future Gener. Comput. Syst."},{"issue":"1","key":"3_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/EVCO_r_00180","volume":"25","author":"MR Bonyadi","year":"2017","unstructured":"Bonyadi, M.R., Michalewicz, Z.: Particle swarm optimization for single objective continuous space problems: a review. Evol. Comput. 25(1), 1\u201354 (2017)","journal-title":"Evol. Comput."},{"issue":"8","key":"3_CR13","first-page":"1","volume":"54","author":"Y Tian","year":"2021","unstructured":"Tian, Y., et al.: Evolutionary large-scale multi-objective optimization: a survey. ACM Comput. Surv. 54(8), 1\u201334 (2021)","journal-title":"ACM Comput. Surv."},{"issue":"2","key":"3_CR14","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s00500-016-2474-6","volume":"22","author":"D Wang","year":"2018","unstructured":"Wang, D., Tan, D., Liu, L.: Particle swarm optimization algorithm: an overview. Soft. Comput. 22(2), 387\u2013408 (2018)","journal-title":"Soft. Comput."},{"issue":"8","key":"3_CR15","doi-asserted-by":"publisher","first-page":"3696","DOI":"10.1109\/TCYB.2019.2906383","volume":"50","author":"Y Tian","year":"2019","unstructured":"Tian, Y., Zheng, X., Zhang, X., Jin, Y.: Efficient large-scale multiobjective optimization based on a competitive swarm optimizer. IEEE Trans. Cybern. 50(8), 3696\u20133708 (2019)","journal-title":"IEEE Trans. Cybern."},{"key":"3_CR16","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, 8939\u20138980 (2021)","journal-title":"Neural Comput. Appl."},{"key":"3_CR17","doi-asserted-by":"publisher","first-page":"14825","DOI":"10.1007\/s00500-020-04834-7","volume":"24","author":"Q Fan","year":"2020","unstructured":"Fan, Q., Chen, Z., Xia, Z.: A novel quasi-reflected harris hawks optimization algorithm for global optimization problems. Soft. Comput. 24, 14825\u201314843 (2020)","journal-title":"Soft. Comput."},{"issue":"3","key":"3_CR18","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1109\/TEVC.2013.2262178","volume":"18","author":"M Li","year":"2013","unstructured":"Li, M., Yang, S., Liu, X.: Shift-based density estimation for pareto-based algorithms in many-objective optimization. IEEE Trans. Evol. Comput. 18(3), 348\u2013365 (2013)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"5","key":"3_CR19","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1109\/TEVC.2016.2519378","volume":"20","author":"R Cheng","year":"2016","unstructured":"Cheng, R., Jin, Y., Olhofer, M., Sendhoff, B.: A reference vector guided evolutionary algorithm for many-objective optimization. IEEE Trans. Evol. Comput. 20(5), 773\u2013791 (2016)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"3_CR20","doi-asserted-by":"crossref","unstructured":"He, C., Cheng, R., Yazdani, D.: Adaptive offspring generation for evolutionary large-scale multiobjective optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(2), 786\u2013798 (2020)","DOI":"10.1109\/TSMC.2020.3003926"},{"issue":"6","key":"3_CR21","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"Q Zhang","year":"2007","unstructured":"Zhang, Q., Li, H.: Moea\/d: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans. Evol. Comput. 11(6), 712\u2013731 (2007)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"3_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2023.101377","volume":"83","author":"Y Lu","year":"2023","unstructured":"Lu, Y., Li, B., Liu, S., Zhou, A.: A population cooperation based particle swarm optimization algorithm for large-scale multi-objective optimization. Swarm Evol. Comput. 83, 101377 (2023)","journal-title":"Swarm Evol. Comput."},{"key":"3_CR23","doi-asserted-by":"crossref","unstructured":"Coello\u00a0Coello, C., Lechuga, M.: Mopso: a proposal for multiple objective particle swarm optimization. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion, vol.\u00a02, pp. 1051\u20131056 (2002)","DOI":"10.1109\/CEC.2002.1004388"},{"key":"3_CR24","doi-asserted-by":"publisher","unstructured":"Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable test problems for evolutionary multiobjective optimization. In: Evolutionary Multiobjective Optimization: Theoretical Advances and Applications, pp. 105\u2013145. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/1-84628-137-7_6","DOI":"10.1007\/1-84628-137-7_6"},{"issue":"5","key":"3_CR25","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1109\/TEVC.2005.861417","volume":"10","author":"S Huband","year":"2006","unstructured":"Huband, S., Hingston, P., Barone, L., While, L.: A review of multiobjective test problems and a scalable test problem toolkit. IEEE Trans. Evol. Comput. 10(5), 477\u2013506 (2006)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"3_CR26","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1109\/MCI.2017.2742868","volume":"12","author":"Y Tian","year":"2017","unstructured":"Tian, Y., Cheng, R., Zhang, X., Jin, Y.: Platemo: a matlab platform for evolutionary multi-objective optimization [educational forum]. IEEE Comput. Intell. Mag. 12(4), 73\u201387 (2017)","journal-title":"IEEE Comput. Intell. Mag."},{"issue":"2","key":"3_CR27","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1109\/TEVC.2003.810761","volume":"7","author":"PA Bosman","year":"2003","unstructured":"Bosman, P.A., Thierens, D.: The balance between proximity and diversity in multiobjective evolutionary algorithms. IEEE Trans. Evol. Comput. 7(2), 174\u2013188 (2003)","journal-title":"IEEE Trans. Evol. Comput."}],"container-title":["Lecture Notes in Computer Science","Behavioural and Social Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-7138-3_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T12:07:42Z","timestamp":1771848462000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-7138-3_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819571376","9789819571383"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-7138-3_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"24 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BESC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Behavioural and Social Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hong Kong SAR","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"besc2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/besc-conf.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}