乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T17:16:23Z","timestamp":1725988583423},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319992525"},{"type":"electronic","value":"9783319992532"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-99253-2_34","type":"book-chapter","created":{"date-parts":[[2018,8,21]],"date-time":"2018-08-21T06:14:41Z","timestamp":1534832081000},"page":"424-435","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Spark Clustering Computing Platform Based Parallel Particle Swarm Optimizers for Computationally Expensive Global Optimization"],"prefix":"10.1007","author":[{"given":"Qiqi","family":"Duan","sequence":"first","affiliation":[]},{"given":"Lijun","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Yuhui","family":"Shi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,8,22]]},"reference":[{"key":"34_CR1","first-page":"1","volume":"29","author":"F Ferrucci","year":"2018","unstructured":"Ferrucci, F., Salza, P., Sarro, F.: Using Hadoop MapReduce for parallel genetic algorithms: a comparison of the global, grid and island models. Evol. Comput. 29, 1\u201333 (2018). Early Access","journal-title":"Evol. Comput."},{"issue":"1","key":"34_CR2","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1145\/1327452.1327492","volume":"51","author":"J Dean","year":"2008","unstructured":"Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51(1), 107\u2013113 (2008)","journal-title":"Commun. ACM"},{"issue":"1","key":"34_CR3","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1145\/1629175.1629198","volume":"53","author":"J Dean","year":"2010","unstructured":"Dean, J., Ghemawat, S.: MapReduce: a flexible data processing tool. Commun. ACM 53(1), 72\u201377 (2010)","journal-title":"Commun. ACM"},{"issue":"11","key":"34_CR4","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1145\/2934664","volume":"59","author":"M Zaharia","year":"2016","unstructured":"Zaharia, M., Xin, R.S., Wendell, P., et al.: Apache Spark: a unified engine for big data processing. Commun. ACM 59(11), 56\u201365 (2016)","journal-title":"Commun. ACM"},{"issue":"3","key":"34_CR5","doi-asserted-by":"publisher","first-page":"704","DOI":"10.1109\/TPDS.2016.2597826","volume":"28","author":"ZH Zhan","year":"2017","unstructured":"Zhan, Z.H., Liu, X.F., Zhang, H., et al.: Cloudde: a heterogeneous differential evolution algorithm and its distributed cloud version. IEEE Trans. Parallel Distrib. Syst. 28(3), 704\u2013716 (2017)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"10","key":"34_CR6","doi-asserted-by":"publisher","first-page":"2784","DOI":"10.1109\/TPDS.2017.2687461","volume":"28","author":"MP Wachowiak","year":"2017","unstructured":"Wachowiak, M.P., Timson, M.C., DuVal, D.J.: Adaptive particle swarm optimization with heterogeneous multicore parallelism and GPU acceleration. IEEE Trans. Parallel Distrib. Syst. 28(10), 2784\u20132793 (2017)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"2","key":"34_CR7","first-page":"332","volume":"28","author":"G Kan","year":"2017","unstructured":"Kan, G., Lei, T., Liang, K., et al.: A multi-core CPU and many-core GPU based fast parallel shuffled complex evolution global optimization approach. IEEE Trans. Parallel Distrib. Syst. 28(2), 332\u2013344 (2017)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"2","key":"34_CR8","doi-asserted-by":"publisher","first-page":"1626","DOI":"10.14778\/1687553.1687609","volume":"2","author":"A Thusoo","year":"2009","unstructured":"Thusoo, A., Sarma, J.S., Jain, N., et al.: Hive: a warehousing solution over a map-reduce framework. Proc. VLDB Endow. 2(2), 1626\u20131629 (2009)","journal-title":"Proc. VLDB Endow."},{"issue":"1","key":"34_CR9","first-page":"1235","volume":"17","author":"X Meng","year":"2016","unstructured":"Meng, X., Bradley, J., Yavuz, B., et al.: MLlib: machine learning in Apache Spark. J. Mach. Learn. Res. 17(1), 1235\u20131241 (2016)","journal-title":"J. Mach. Learn. Res."},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Armbrust, M., Xin, R.S., Lian, C., et al.: Spark SQL: relational data processing in Spark. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 1383\u20131394. ACM (2015)","DOI":"10.1145\/2723372.2742797"},{"issue":"3","key":"34_CR11","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.K., Suganthan, P.N., et al.: 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."},{"issue":"1","key":"34_CR12","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1109\/TSMCB.2005.856724","volume":"36","author":"M Dubreuil","year":"2006","unstructured":"Dubreuil, M., Gagn\u00e9, C., Parizeau, M.: Analysis of a master-slave architecture for distributed evolutionary computations. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 36(1), 229\u2013235 (2006)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B (Cybern.)"},{"key":"34_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/BFb0014799","volume-title":"Evolutionary Programming VI","author":"GA Riessen","year":"1997","unstructured":"Riessen, G.A., Williams, G.J., Yao, X.: PEPNet: parallel evolutionary programming for constructing artificial neural networks. In: Angeline, P.J., Reynolds, R.G., McDonnell, J.R., Eberhart, R. (eds.) EP 1997. LNCS, vol. 1213, pp. 35\u201345. Springer, Heidelberg (1997). https:\/\/doi.org\/10.1007\/BFb0014799"},{"issue":"9","key":"34_CR14","doi-asserted-by":"publisher","first-page":"2028","DOI":"10.1109\/TCYB.2015.2460261","volume":"46","author":"Y Tan","year":"2016","unstructured":"Tan, Y., Ding, K.: A survey on GPU-based implementation of swarm intelligence algorithms. IEEE Trans. Cybern. 46(9), 2028\u20132041 (2016)","journal-title":"IEEE Trans. Cybern."},{"key":"34_CR15","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1016\/j.asoc.2015.04.061","volume":"34","author":"YJ Gong","year":"2015","unstructured":"Gong, Y.J., Chen, W.N., Zhan, Z.H., et al.: Distributed evolutionary algorithms and their models: a survey of the state-of-the-art. Appl. Soft Comput. 34, 286\u2013300 (2015)","journal-title":"Appl. Soft Comput."},{"key":"34_CR16","unstructured":"Spark Hardware Provisioning Homepage. http:\/\/spark.apache.org\/docs\/latest\/hardware-provisioning.html . Accessed 02 Apr 2018"},{"key":"34_CR17","unstructured":"Scala Breeze Homepage. https:\/\/github.com\/scalanlp\/breeze . Accessed 02 Apr 2018"},{"issue":"2","key":"34_CR18","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1109\/TEVC.2011.2173577","volume":"17","author":"WN Chen","year":"2013","unstructured":"Chen, W.N., Zhang, J., Lin, Y., et al.: Particle swarm optimization with an aging leader and challengers. IEEE Trans. Evol. Comput. 17(2), 241\u2013258 (2013)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"12","key":"34_CR19","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1145\/3148760","volume":"60","author":"K Kirkpatrick","year":"2017","unstructured":"Kirkpatrick, K.: Parallel computational thinking. Commun. ACM 60(12), 17\u201319 (2017)","journal-title":"Commun. ACM"},{"key":"34_CR20","unstructured":"Zaharia, M., Chowdhury, M., Das, T., et al.: Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing. In: Proceedings of the 9th USENIX Conference on Networked Systems Design and Implementation, p. 2. USENIX Association (2012)"},{"key":"34_CR21","doi-asserted-by":"crossref","unstructured":"Shi, Y., Eberhart, R.: A modified particle swarm optimizer. In: IEEE World Congress on Computational Intelligence, pp. 69\u201373 (1998)","DOI":"10.1109\/ICEC.1998.699146"},{"volume-title":"Programming in Scala","year":"2016","author":"M Odersky","key":"34_CR22","unstructured":"Odersky, M., Spoon, L., Venners, B.: Programming in Scala. Artima Inc., Mountain View (2016)"},{"issue":"5","key":"34_CR23","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1109\/TEVC.2002.800880","volume":"6","author":"E Alba","year":"2002","unstructured":"Alba, E., Tomassini, M.: Parallelism and evolutionary algorithms. IEEE Trans. Evol. Comput. 6(5), 443\u2013462 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"34_CR24","unstructured":"Spark GitHub Homepage. https:\/\/github.com\/apache\/spark . Accessed 02 Apr 2018"},{"key":"34_CR25","doi-asserted-by":"crossref","unstructured":"Verma, A., Llor\u00e0, X., Goldberg, D.E., et al.: Scaling genetic algorithms using MapReduce. In: Ninth International Conference on Intelligent Systems Design and Applications, pp. 13\u201318. IEEE (2009)","DOI":"10.1109\/ISDA.2009.181"},{"key":"34_CR26","unstructured":"Hajeer, M.H., Dasgupta, D.: Handling big data using a data-aware HDFS and evolutionary clustering technique. IEEE Trans. Big Data (2017). Early Access"},{"key":"34_CR27","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/978-0-387-09766-4","volume-title":"Encyclopedia of Parallel Computing","author":"JL Gustafson","year":"2011","unstructured":"Gustafson, J.L.: Amdahl\u2019s law. In: Padua, D. (ed.) Encyclopedia of Parallel Computing, pp. 53\u201360. Springer, Boston (2011). https:\/\/doi.org\/10.1007\/978-0-387-09766-4"}],"container-title":["Lecture Notes in Computer Science","Parallel Problem Solving from Nature \u2013 PPSN XV"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99253-2_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,22]],"date-time":"2019-10-22T13:32:41Z","timestamp":1571751161000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-99253-2_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319992525","9783319992532"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99253-2_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}