{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T13:01:52Z","timestamp":1763643712204,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789811991974"},{"type":"electronic","value":"9789811991981"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-981-19-9198-1_31","type":"book-chapter","created":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T05:03:41Z","timestamp":1671685421000},"page":"407-423","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["FPGA-Based Hardware Modeling on Pigeon-Inspired Optimization Algorithm"],"prefix":"10.1007","author":[{"given":"Yu","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chun","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,23]]},"reference":[{"key":"31_CR1","unstructured":"Li, W., et al.: A simulation design and optimization method based on MATLAB and intelligent optimization algorithm. In: Proceedings of 2020 China Simulation Conference, pp. 396\u2013402 (2020)"},{"key":"31_CR2","unstructured":"Li, L., et al.: Improved EKF aircraft trajectory tracking algorithm based on PSO. In: Proceedings of the 33rd China Simulation Conference, pp. 64\u201369 (2021)"},{"issue":"1","key":"31_CR3","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1108\/IJICC-02-2014-0005","volume":"7","author":"H Duan","year":"2014","unstructured":"Duan, H., Qiao, P.: Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning. Int. J. Intell. Comput. Cybern. 7(1), 24\u201337 (2014)","journal-title":"Int. J. Intell. Comput. Cybern."},{"issue":"11","key":"31_CR4","doi-asserted-by":"publisher","first-page":"1915","DOI":"10.1007\/s11431-015-5860-x","volume":"58","author":"HX Qiu","year":"2015","unstructured":"Qiu, H.X., Duan, H.B.: Multi-objective pigeon-inspired optimization for brushless direct current motor parameter design. Sci. China Technol. Sci. 58(11), 1915\u20131923 (2015). https:\/\/doi.org\/10.1007\/s11431-015-5860-x","journal-title":"Sci. China Technol. Sci."},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Alazzam, H., Alsmady, A., Mardini, W.: Solving multiple traveling salesmen problem using discrete pigeon inspired optimizer. In: 2020 11th International Conference on Information and Communication Systems (ICICS). IEEE (2020)","DOI":"10.1109\/ICICS49469.2020.239528"},{"issue":"1","key":"31_CR6","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.cja.2014.12.008","volume":"28","author":"S Zhang","year":"2015","unstructured":"Zhang, S., Duan, H.: Gaussian pigeon-inspired optimization approach to orbital spacecraft formation reconfiguration. Chin. J. Aeronaut. 28(1), 200\u2013205 (2015)","journal-title":"Chin. J. Aeronaut."},{"key":"31_CR7","doi-asserted-by":"crossref","unstructured":"Zhang, D., Duan, H., Yang,Y.: Active disturbance rejection control for small unmanned helicopters via Levy flight-based pigeon-inspired optimization. Aircraft Engineering and Aerospace Technology (2017)","DOI":"10.1108\/AEAT-05-2016-0065"},{"issue":"3","key":"31_CR8","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1007\/s11431-016-0485-8","volume":"60","author":"JZ Pei","year":"2017","unstructured":"Pei, J.Z., YiXin, S., Zhang, D.H.: Fuzzy energy management strategy for parallel HEV based on pigeon-inspired optimization algorithm. Sci. China Technol. Sci. 60(3), 425\u2013433 (2017)","journal-title":"Sci. China Technol. Sci."},{"key":"31_CR9","doi-asserted-by":"crossref","unstructured":"Yu, S., et al.: Node self-deployment algorithm based on pigeon swarm optimization for underwater wireless sensor networks. Sensors 17(4), 674 (2017)","DOI":"10.3390\/s17040674"},{"key":"31_CR10","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1016\/j.ast.2014.10.007","volume":"39","author":"C Li","year":"2014","unstructured":"Li, C., Duan, H.: Target detection approach for UAVs via improved pigeon-inspired optimization and edge potential function. Aerosp. Sci. Technol. 39, 352\u2013360 (2014)","journal-title":"Aerosp. Sci. Technol."},{"key":"31_CR11","doi-asserted-by":"crossref","unstructured":"Pan, J.-S., et al.: Improved binary pigeon-inspired optimization and its application for feature selection. Appl. Intell. 51(12), 8661\u20138679 (2021)","DOI":"10.1007\/s10489-021-02302-9"},{"key":"31_CR12","doi-asserted-by":"crossref","unstructured":"Yuan, Y., Duan, H.: Active disturbance rejection attitude control of unmanned quadrotor via paired coevolution pigeon-inspired optimization. Aircraft Engineering and Aerospace Technology (2021)","DOI":"10.1108\/AEAT-07-2020-0136"},{"key":"31_CR13","doi-asserted-by":"crossref","unstructured":"Zou, X., et al.: Parallel design of intelligent optimization algorithm based on FPGA. Int. J. Adv. Manuf. Technol. 94(9), 3399\u20133412 (2018)","DOI":"10.1007\/s00170-017-1447-y"},{"key":"31_CR14","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Tan, Y.: GPU-based parallel particle swarm optimization. In: 2009 IEEE Congress on Evolutionary Computation. IEEE (2009)","DOI":"10.1109\/CEC.2009.4983119"},{"key":"31_CR15","doi-asserted-by":"crossref","unstructured":"Menezes, B.A.M., et al.: Parallelization strategies for GPU-based ant colony optimization solving the traveling salesman problem. In: 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE (2019)","DOI":"10.1109\/CEC.2019.8790073"},{"key":"31_CR16","doi-asserted-by":"crossref","unstructured":"Juang, C.-F., et al.: Ant colony optimization algorithm for fuzzy controller design and its FPGA implementation. IEEE Trans. Ind. Electron. 55(3), 1453\u20131462 (2008)","DOI":"10.1109\/TIE.2007.909762"},{"key":"31_CR17","doi-asserted-by":"crossref","unstructured":"Djenouri, Y., et al.: Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases. Inf. Sci. 496, 326\u2013342 (2019)","DOI":"10.1016\/j.ins.2018.06.060"},{"key":"31_CR18","doi-asserted-by":"crossref","unstructured":"Jiang, Q., et al.: Improving the performance of whale optimization algorithm through OpenCL-based FPGA accelerator. In: Complexity 2020 (2020)","DOI":"10.1155\/2020\/8810759"},{"key":"31_CR19","doi-asserted-by":"crossref","unstructured":"Sadeeq, H., Abdulazeez, A.M.: Hardware implementation of firefly optimization algorithm using FPGAs. In: 2018 International Conference on Advanced Science and Engineering (ICOASE). IEEE (2018)","DOI":"10.1109\/ICOASE.2018.8548822"},{"key":"31_CR20","doi-asserted-by":"crossref","unstructured":"Lipu, A.R., et al.: Exploiting parallelism for faster implementation of Bubble sort algorithm using FPGA. In: 2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE). IEEE (2016)","DOI":"10.1109\/ICECTE.2016.7879576"},{"issue":"2","key":"31_CR21","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/4235.771163","volume":"3","author":"X Yao","year":"1999","unstructured":"Yao, X., Liu, Y., Lin, G.: Evolutionary programming made faster. IEEE Trans. Evol. Comput. 3(2), 82\u2013102 (1999)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"3","key":"31_CR22","first-page":"6","volume":"3","author":"PK Babitha","year":"2015","unstructured":"Babitha, P.K., Thushara, T., Dechakka, M.P.: FPGA based N-bit LFSR to generate random sequence number. Int. J. Eng. Res. General Sci. 3(3), 6\u201310 (2015)","journal-title":"Int. J. Eng. Res. General Sci."}],"container-title":["Communications in Computer and Information Science","Methods and Applications for Modeling and Simulation of Complex Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-19-9198-1_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,8]],"date-time":"2023-08-08T20:21:10Z","timestamp":1691526070000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-19-9198-1_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9789811991974","9789811991981"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-19-9198-1_31","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"23 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AsiaSim","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Simulation Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changsha","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"asiasim2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cnsim.org.cn\/cass-sim\/cn\/","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":"CNSIM","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"218","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":"97","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":"44% - 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":"4","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)"}},{"value":"Due to the Covid pandemic AsiaSim 2022 has been postponed to January 2023.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}