{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T23:51:40Z","timestamp":1775260300172,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Singapore","isbn-type":[{"value":"9789811315947","type":"print"},{"value":"9789811315954","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,10,31]],"date-time":"2018-10-31T00:00:00Z","timestamp":1540944000000},"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\/978-981-13-1595-4_47","type":"book-chapter","created":{"date-parts":[[2018,10,30]],"date-time":"2018-10-30T17:39:11Z","timestamp":1540921151000},"page":"591-601","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An Improvised Competitive Swarm Optimizer for Large-Scale Optimization"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6684-4490","authenticated-orcid":false,"given":"Prabhujit","family":"Mohapatra","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1676-3753","authenticated-orcid":false,"given":"Kedar Nath","family":"Das","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6852-4757","authenticated-orcid":false,"given":"Santanu","family":"Roy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,31]]},"reference":[{"key":"47_CR1","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, vol. 4, pp. 1942\u20131948. IEEE (1995)","DOI":"10.1109\/ICNN.1995.488968"},{"key":"47_CR2","unstructured":"Yang, Y., Pedersen, J.O.: A comparative study on feature selection in text categorization. In: Proceedings of International Conference on Machine Learning, pp. 412\u2013420. Morgan Kaufmann Publishers (1997)"},{"key":"47_CR3","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Parameter selection in particle swarm optimization. In: Evolutionary Programming VII, pp. 591\u2013600. Springer (1998)","DOI":"10.1007\/BFb0040810"},{"issue":"5","key":"47_CR4","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1109\/TEVC.2012.2232931","volume":"17","author":"M Hu","year":"2013","unstructured":"Hu, M., Wu, T., Weir, J.D.: An adaptive particle swarm optimization with multiple adaptive methods. IEEE Trans. Evol. Comput. 17(5), 705\u2013720 (2013)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"47_CR5","doi-asserted-by":"crossref","unstructured":"Robinson, J., Sinton, S., Rahmat-Samii, Y.: Particle swarm, genetic algorithm, and their hybrids: optimization of a profiled corrugated horn antenna. In: Proceedings of IEEE Antennas and Propagation Society International Symposium, pp. 314\u2013317. IEEE (2002)","DOI":"10.1109\/APS.2002.1016311"},{"issue":"1","key":"47_CR6","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.amc.2006.09.098","volume":"188","author":"P Shelokar","year":"2007","unstructured":"Shelokar, P., Siarry, P., Jayaraman, V.K., Kulkarni, B.D.: Particle swarm and ant colony algorithms hybridized for improved continuous optimization. Appl. Math. Comput. 188(1), 129\u2013142 (2007)","journal-title":"Appl. Math. Comput."},{"key":"47_CR7","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Mendes, R.: Population structure and particle swarm performance. In: Proceedings of IEEE Congress on Evolutionary Computation, pp. 1671\u20131676. IEEE (2002)","DOI":"10.1109\/CEC.2002.1004493"},{"issue":"3","key":"47_CR8","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1109\/TEVC.2005.857610","volume":"10","author":"JJ Liang","year":"2006","unstructured":"Liang, J.J., Qin, A., Suganthan, P.N., Baskar, S.: Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans. Evol. Comput. 10(3), 281\u2013295 (2006)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"47_CR9","doi-asserted-by":"crossref","unstructured":"Liang, J., Suganthan, P.: Dynamic multi-swarm particle swarm optimizer. In: Proceedings of IEEE Swarm Intelligence Symposium, pp. 124\u2013129. IEEE (2005)","DOI":"10.1109\/SIS.2005.1501611"},{"key":"47_CR10","doi-asserted-by":"crossref","unstructured":"Kennedy, J.: Bare bones particle swarms. In: Proceedings of IEEE Swarm Intelligence Symposium, pp. 80\u201387. IEEE (2003)","DOI":"10.1109\/SIS.2003.1202251"},{"issue":"1","key":"47_CR11","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.ejor.2009.05.005","volume":"202","author":"C Goh","year":"2010","unstructured":"Goh, C., Tan, K., Liu, D., Chiam, S.: A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. Eur. J. Oper. Res. 202(1), 42\u201354 (2010)","journal-title":"Eur. J. Oper. Res."},{"issue":"4","key":"47_CR12","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1109\/72.508930","volume":"7","author":"B Whitehead","year":"1996","unstructured":"Whitehead, B., Choate, T.: Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction. IEEE Trans. Neural Netw. 7(4), 869\u2013880 (1996)","journal-title":"IEEE Trans. Neural Netw."},{"key":"47_CR13","doi-asserted-by":"crossref","unstructured":"Cheng, R., Sun, C., Jin, Y.: A multi-swarm evolutionary framework based on a feedback mechanism. In: Proceedings of IEEE Congress on Evolutionary Computation, pp. 718\u2013724. IEEE (2013)","DOI":"10.1109\/CEC.2013.6557639"},{"issue":"2","key":"47_CR14","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1109\/TCYB.2014.2322602","volume":"45","author":"C Ran","year":"2015","unstructured":"Ran, C., Yaochu, J.: A competitive swarm optimizer for large scale optimization. IEEE Trans. Cybern. 45(2), 191\u2013204 (2015)","journal-title":"IEEE Trans. Cybern."},{"issue":"2","key":"47_CR15","first-page":"1","volume":"16","author":"X Li","year":"2011","unstructured":"Li, X., Yao, Y.: Cooperatively coevolving particle swarms for large scale optimization. IEEE Trans. Evol. Comput. 16(2), 1\u201315 (2011)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"47_CR16","doi-asserted-by":"crossref","unstructured":"Yang, Z., Tang, K., Yao, X.: Multilevel cooperative coevolution for large scale optimization. In: Proceedings of IEEE Congress on Evolutionary Computation, pp. 1663\u20131670. IEEE (2008)","DOI":"10.1109\/CEC.2008.4631014"},{"key":"47_CR17","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1007\/978-3-540-87700-4_30","volume-title":"Parallel Problem Solving from Nature \u2013 PPSN X","author":"Raymond Ros","year":"2008","unstructured":"Ros, R., Hansen, N.: A simple modification in cma-es achieving linear time and space complexity. In: Parallel Problem Solving from Nature-PPSN X, pp. 296\u2013305 (2008)"},{"key":"47_CR18","doi-asserted-by":"crossref","unstructured":"Hsieh, S.-T., Sun, T.-Y., Liu, C.-C., Tsai, S.-J.: Solving large scale global optimization using improved particle swarm optimizer. In: Proceedings of IEEE Congress on Evolutionary Computation, pp. 1777\u20131784. IEEE (2008)","DOI":"10.1109\/CEC.2008.4631030"},{"key":"47_CR19","doi-asserted-by":"crossref","unstructured":"Zhao, S.-Z., Liang, J.J.: Dynamic multi-swarm particle swarm optimizer with local search for large scale global optimization. In: Proceedings of IEEE Congress on Evolutionary Computation, pp. 3845\u20133852. IEEE (2008)","DOI":"10.1109\/CEC.2008.4631320"},{"key":"47_CR20","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1016\/j.asoc.2017.05.060","volume":"59","author":"P Mohapatra","year":"2017","unstructured":"Mohapatra, P., Das, K.N., Roy, S.: A modified competitive swarm optimizer for large scale optimization problems. Appl. Soft Comput. 59, 340\u2013362 (2017)","journal-title":"Appl. Soft Comput."}],"container-title":["Advances in Intelligent Systems and Computing","Soft Computing for Problem Solving"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-1595-4_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T22:33:43Z","timestamp":1775255623000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-13-1595-4_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,31]]},"ISBN":["9789811315947","9789811315954"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-1595-4_47","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,31]]}}}