{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:44:13Z","timestamp":1742913853656,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":19,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811534249"},{"type":"electronic","value":"9789811534256"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-981-15-3425-6_9","type":"book-chapter","created":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T19:02:58Z","timestamp":1585767778000},"page":"98-108","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Adaptive Brain Storm Optimization Based on Learning Automata"],"prefix":"10.1007","author":[{"given":"Yan","family":"Xu","sequence":"first","affiliation":[]},{"given":"LianBo","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Mingli","family":"Shi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,4,2]]},"reference":[{"issue":"1","key":"9_CR1","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/4235.585892","volume":"1","author":"M Dorigo","year":"1997","unstructured":"Dorigo, M., Gambardella, L.M.: Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans. Evol. Comput. 1(1), 53\u201356 (1997)","journal-title":"IEEE Trans. Evol. Comput."},{"unstructured":"Eberhart, Shi, Y.: Particle swarm optimization: developments, applications and resources. In: Congress on Evolutionary Computation (2002)","key":"9_CR2"},{"issue":"5","key":"9_CR3","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1109\/TSMC.2017.2723483","volume":"49","author":"L Ma","year":"2019","unstructured":"Ma, L., Wang, X., Huang, M., Lin, Z., Tian, L., Chen, H.: Two-level master-slave RFID networks planning via hybrid multi-objective artificial bee colony optimizer. IEEE Trans. Syst. Man Cybern.: Syst. 49(5), 861\u2013880 (2019)","journal-title":"IEEE Trans. Syst. Man Cybern.: Syst."},{"unstructured":"Shi, Y.H., Eberhart, R.C.: Empirical study of particle swarm optimization. In: Congress on Evolutionary Computation (2002)","key":"9_CR4"},{"key":"9_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.01.030","author":"L Ma","year":"2019","unstructured":"Ma, L., Wang, R., Chen, M., Wang, X., Cheng, S., Shi, Y.: A novel many-objective evolutionary algorithm based on transfer learning with Kriging model. Inf. Sci. (2019). \nhttps:\/\/doi.org\/10.1016\/j.ins.2019.01.030","journal-title":"Inf. Sci."},{"key":"9_CR6","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.jnca.2014.02.012","volume":"42","author":"L Ma","year":"2014","unstructured":"Ma, L., Hu, K., Zhu, Y., Chen, H.: Cooperative artificial bee colony algorithm for multi-objective RFID network planning. J. Netw. Comput. Appl. 42, 143\u2013162 (2014)","journal-title":"J. Netw. Comput. Appl."},{"key":"9_CR7","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.asoc.2015.08.014","volume":"37","author":"L Ma","year":"2015","unstructured":"Ma, L., Zhu, Y., Liu, Y., Tian, L., et al.: A novel bionic algorithm inspired by plant root foraging behaviors. Appl. Soft Comput. 37, 95\u2013133 (2015)","journal-title":"Appl. Soft Comput."},{"key":"9_CR8","doi-asserted-by":"publisher","first-page":"924","DOI":"10.1109\/TEVC.2016.2549267","volume":"20","author":"B Li","year":"2016","unstructured":"Li, B., Tang, K., Li, J., et al.: Stochastic ranking algorithm for many-objective optimization based on multiple indicators. IEEE Trans. Evol. Comput. 20, 924\u2013938 (2016)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"3","key":"9_CR9","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1162\/106365602760234108","volume":"10","author":"M Laumanns","year":"2002","unstructured":"Laumanns, M., Thiele, L., Deb, K., Zitzler, E.: Combining convergence and diversity in evolutionary multiobjective optimization. Evol. Comput. 10(3), 263\u2013282 (2002)","journal-title":"Evol. Comput."},{"key":"9_CR10","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1109\/TSMC.1974.5408453","volume":"4","author":"KS Narendra","year":"1974","unstructured":"Narendra, K.S., Thathachar, M.A.: Learning automata - a survey. IEEE Trans. Syst. Man Cybern. 4, 323\u2013334 (1974)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.knosys.2017.07.024","volume":"133","author":"L Ma","year":"2017","unstructured":"Ma, L., et al.: Cooperative two-engine multi-objective bee foraging algorithm with reinforcement learning. Knowl.-Based Syst. 133, 278\u2013293 (2017)","journal-title":"Knowl.-Based Syst."},{"key":"9_CR12","volume-title":"Learning Automata: An Overview","author":"KS Narendra","year":"1989","unstructured":"Narendra, K.S., Thathachar, M.A.L.: Learning Automata: An Overview. Prentice Hall, Upper Saddle River (1989)"},{"key":"9_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/978-3-642-21515-5_36","volume-title":"Advances in Swarm Intelligence","author":"Y Shi","year":"2011","unstructured":"Shi, Y.: Brain storm optimization algorithm. In: Tan, Y., Shi, Y., Chai, Y., Wang, G. (eds.) ICSI 2011. LNCS, vol. 6728, pp. 303\u2013309. Springer, Heidelberg (2011). \nhttps:\/\/doi.org\/10.1007\/978-3-642-21515-5_36"},{"issue":"4","key":"9_CR14","doi-asserted-by":"publisher","first-page":"35","DOI":"10.4018\/ijsir.2011100103","volume":"2","author":"Y Shi","year":"2011","unstructured":"Shi, Y.: An optimization algorithm based on brainstorming process. Int. J. Swarm Intell. Res. 2(4), 35\u201362 (2011)","journal-title":"Int. J. Swarm Intell. Res."},{"doi-asserted-by":"crossref","unstructured":"Zhan, Z., Zhang, J., Shi, Y., Liu, H.: A modified brain storm optimization. In: Proceedings of2012 IEEE World Congress Computational Intelligence, Brisbane, Australia, 10\u201315 June, pp. 1\u20138 (2012)","key":"9_CR15","DOI":"10.1109\/CEC.2012.6256594"},{"key":"9_CR16","volume-title":"Learning Automata: An Introduction","author":"KS Narendra","year":"1989","unstructured":"Narendra, K.S., Thathachar, M.A.L.: Learning Automata: An Introduction. Prentice-Hall Inc., Upper Saddle River (1989)"},{"issue":"1","key":"9_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TMAG.2014.2347962","volume":"51","author":"H Duan","year":"2015","unstructured":"Duan, H., Li, C.: Quantum-behaved brain storm optimization approach to solving loneys solenoid problem. IEEE Trans. Mag. 51(1), 1\u20137 (2015)","journal-title":"IEEE Trans. Mag."},{"issue":"10","key":"9_CR18","doi-asserted-by":"publisher","first-page":"5336","DOI":"10.1109\/TMAG.2013.2262296","volume":"49","author":"H Duan","year":"2013","unstructured":"Duan, H., Li, S., Shi, Y.: Predator-prey brain storm optimization for DC brushless motor. IEEE Trans. Mag. 49(10), 5336\u20135340 (2013)","journal-title":"IEEE Trans. Mag."},{"doi-asserted-by":"crossref","unstructured":"Shi, Y.: Brain storm optimization algorithm in objective space. In: Congress on Evolutionary Computation (2015)","key":"9_CR19","DOI":"10.1109\/CEC.2015.7257029"}],"container-title":["Communications in Computer and Information Science","Bio-inspired Computing: Theories and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-3425-6_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,2]],"date-time":"2020-04-02T01:30:30Z","timestamp":1585791030000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-3425-6_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811534249","9789811534256"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-3425-6_9","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"2 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BIC-TA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Bio-Inspired Computing: Theories and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhengzhou","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bicta2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2019.bicta.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"197","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":"121","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":"61% - 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":"3","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":"3","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)"}}]}}