{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T04:22:11Z","timestamp":1743049331810,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":39,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642287886"},{"type":"electronic","value":"9783642287893"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-28789-3_6","type":"book-chapter","created":{"date-parts":[[2012,4,26]],"date-time":"2012-04-26T06:01:53Z","timestamp":1335420113000},"page":"125-150","source":"Crossref","is-referenced-by-count":3,"title":["An Empirical Study of Parallel and Distributed Particle Swarm Optimization"],"prefix":"10.1007","author":[{"given":"Leonardo","family":"Vanneschi","sequence":"first","affiliation":[]},{"given":"Daniele","family":"Codecasa","sequence":"additional","affiliation":[]},{"given":"Giancarlo","family":"Mauri","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"8","key":"6_CR1","doi-asserted-by":"publisher","first-page":"1395","DOI":"10.1016\/j.cor.2009.02.015","volume":"37","author":"F. Archetti","year":"2010","unstructured":"Archetti, F., Giordani, I., Vanneschi, L.: Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset. Computers and Operations Research\u00a037(8), 1395\u20131405 (2010); Impact factor: 1.789","journal-title":"Computers and Operations Research"},{"issue":"1","key":"6_CR2","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1016\/j.asoc.2009.06.013","volume":"10","author":"F. Archetti","year":"2010","unstructured":"Archetti, F., Giordani, I., Vanneschi, L.: Genetic programming for QSAR investigation of docking energy. Applied Soft Computing\u00a010(1), 170\u2013182 (2010)","journal-title":"Applied Soft Computing"},{"issue":"4","key":"6_CR3","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s10710-007-9040-z","volume":"8","author":"F. Archetti","year":"2007","unstructured":"Archetti, F., Messina, E., Lanzeni, S., Vanneschi, L.: Genetic programming for computational pharmacokinetics in drug discovery and development. Genetic Programming and Evolvable Machines\u00a08(4), 17\u201326 (2007)","journal-title":"Genetic Programming and Evolvable Machines"},{"key":"6_CR4","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1016\/j.asoc.2007.01.010","volume":"8","author":"M.S. Arumugam","year":"2008","unstructured":"Arumugam, M.S., Rao, M.: On the improved performances of the particle swarm optimization algorithms with adaptive parameters, cross-over operators and root mean square (rms) variants for computing optimal control of a class of hybrid systems. Journal of Applied Soft Computing\u00a08, 324\u2013336 (2008)","journal-title":"Journal of Applied Soft Computing"},{"key":"6_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/978-3-540-24653-4_50","volume-title":"Applications of Evolutionary Computing","author":"T. Blackwell","year":"2004","unstructured":"Blackwell, T., Branke, J.: Multi-Swarm Optimization in Dynamic Environments. In: Raidl, G.R., Cagnoni, S., Branke, J., Corne, D.W., Drechsler, R., Jin, Y., Johnson, C.G., Machado, P., Marchiori, E., Rothlauf, F., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2004. LNCS, vol.\u00a03005, pp. 489\u2013500. Springer, Heidelberg (2004)"},{"key":"6_CR6","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780195131581.001.0001","volume-title":"Swarm Intelligence: From Natural to Artificial Systems","author":"E. Bonabeau","year":"1999","unstructured":"Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, Santa Fe Institute Studies in the Sciences of Complexity, New York, NY (1999)"},{"key":"6_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1007\/978-3-540-78761-7_62","volume-title":"Applications of Evolutionary Computing","author":"S. Cagnoni","year":"2008","unstructured":"Cagnoni, S., Vanneschi, L., Azzini, A., Tettamanzi, A.G.B.: A Critical Assessment of Some Variants of Particle Swarm Optimization. In: Giacobini, M., Brabazon, A., Cagnoni, S., Di Caro, G.A., Drechsler, R., Ek\u00e1rt, A., Esparcia-Alc\u00e1zar, A.I., Farooq, M., Fink, A., McCormack, J., O\u2019Neill, M., Romero, J., Rothlauf, F., Squillero, G., Uyar, A.\u015e., Yang, S. (eds.) EvoWorkshops 2008. LNCS, vol.\u00a04974, pp. 565\u2013574. Springer, Heidelberg (2008)"},{"doi-asserted-by":"crossref","unstructured":"Clerc, M. (ed.): Particle Swarm Optimization. ISTE (2006)","key":"6_CR8","DOI":"10.1002\/9780470612163"},{"key":"6_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/11730095_3","volume-title":"Evolutionary Computation in Combinatorial Optimization","author":"L. Dio\u015fan","year":"2006","unstructured":"Dio\u015fan, L., Oltean, M.: Evolving the Structure of the Particle Swarm Optimization Algorithms. In: Gottlieb, J., Raidl, G.R. (eds.) EvoCOP 2006. LNCS, vol.\u00a03906, pp. 25\u201336. Springer, Heidelberg (2006)"},{"issue":"1","key":"6_CR10","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1023\/A:1021873026259","volume":"4","author":"F. Fern\u00e1ndez","year":"2003","unstructured":"Fern\u00e1ndez, F., Tomassini, M., Vanneschi, L.: An empirical study of multipopulation genetic programming. Genetic Programming and Evolvable Machines\u00a04(1), 21\u201352 (2003)","journal-title":"Genetic Programming and Evolvable Machines"},{"doi-asserted-by":"crossref","unstructured":"Jiang, Y., Huang, W., Chen, L.: Applying multi-swarm accelerating particle swarm optimization to dynamic continuous functions. In: 2009 Second International Workshop on Knowledge Discovery and Data Mining, pp. 710\u2013713 (2009)","key":"6_CR11","DOI":"10.1109\/WKDD.2009.202"},{"issue":"7","key":"6_CR12","doi-asserted-by":"crossref","first-page":"1354","DOI":"10.1587\/transinf.E92.D.1354","volume":"92-D","author":"K. Kameyama","year":"2009","unstructured":"Kameyama, K.: Particle swarm optimization - a survey. IEICE Transactions\u00a092-D(7), 1354\u20131361 (2009)","journal-title":"IEICE Transactions"},{"doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proc. IEEE Int. conf. on Neural Networks, vol.\u00a04, pp. 1942\u20131948. IEEE Computer Society (1995)","key":"6_CR13","DOI":"10.1109\/ICNN.1995.488968"},{"doi-asserted-by":"crossref","unstructured":"Kennedy, J., Mendes, R.: Population structure and particle swarm performance. In: IEEE Congress on Evolutionary Computation, CEC 2002, pp. 1671\u20131676. IEEE Computer Society (2002)","key":"6_CR14","DOI":"10.1109\/CEC.2002.1004493"},{"issue":"1","key":"6_CR15","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s11721-007-0002-0","volume":"1","author":"J. Kennedy","year":"2007","unstructured":"Kennedy, J., Poli, R., Blackwell, T.: Particle swarm optimisation: an overview. Swarm Intelligence\u00a01(1), 33\u201357 (2007)","journal-title":"Swarm Intelligence"},{"unstructured":"Kennedy, J., Eberhart, R.C.: Swarm Intelligence. Morgan Kaufmann Publishers (2001)","key":"6_CR16"},{"key":"6_CR17","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1109\/ICNC.2008.313","volume-title":"ICNC 2008: Proceedings of the 2008 Fourth International Conference on Natural Computation","author":"C. Li","year":"2008","unstructured":"Li, C., Yang, S.: Fast multi-swarm optimization for dynamic optimization problems. In: ICNC 2008: Proceedings of the 2008 Fourth International Conference on Natural Computation, pp. 624\u2013628. IEEE Computer Society, Washington, DC (2008)"},{"doi-asserted-by":"crossref","unstructured":"Liang, J.J., Suganthan, P.N.: Dynamic multi-swarm particle swarm optimizer with local search. In: 2005 IEEE Congress on Evolutionary Computation, CEC 2005, vol.\u00a01, pp. 522\u2013528 (2005)","key":"6_CR18","DOI":"10.1109\/CEC.2005.1554727"},{"issue":"185","key":"6_CR19","doi-asserted-by":"publisher","first-page":"1050","DOI":"10.1016\/j.amc.2006.07.026","volume":"2","author":"B. Niu","year":"2007","unstructured":"Niu, B., Zhu, Y., He, X., Wu, H.: MCPSO: A multi-swarm cooperative particle swarm optimizer. Applied Mathematics and Computation\u00a02(185), 1050\u20131062 (2007)","journal-title":"Applied Mathematics and Computation"},{"key":"6_CR20","first-page":"1","volume":"3","author":"R. Poli","year":"2008","unstructured":"Poli, R.: Analysis of the publications on the applications of particle swarm optimisation. J. Artif. Evol. App. 2008, 3:1\u20133:10 (2008)","journal-title":"J. Artif. Evol. App."},{"doi-asserted-by":"crossref","unstructured":"Poli, R.: Analysis of the publications on the applications of particle swarm optimisation. Journal of Artificial Evolution and Applications (2009) (in press)","key":"6_CR21","DOI":"10.1155\/2008\/685175"},{"unstructured":"N.\u00a0C.\u00a0M. Project. National Cancer Institute, Bethesda, MD (2008), http:\/\/genome-www.stanford.edu\/nci60\/","key":"6_CR22"},{"unstructured":"Riget, J., Vesterstrm, J.: A diversity-guided particle swarm optimizer - the arpso. Technical report, Dept. of Comput. Sci., Aarhus Univ., Denmark (2002)","key":"6_CR23"},{"key":"6_CR24","volume-title":"Introduction to Probability and Statistics for Engineers and Scientists","author":"S.M. Ross","year":"2000","unstructured":"Ross, S.M.: Introduction to Probability and Statistics for Engineers and Scientists. Academic Press, New York (2000)"},{"issue":"3","key":"6_CR25","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1038\/73432","volume":"24","author":"D.T. Ross","year":"2000","unstructured":"Ross, D.T., et al.: Systematic variation in gene expression patterns in human cancer cell lines. Nat. Genet.\u00a024(3), 227\u2013235 (2000)","journal-title":"Nat. Genet."},{"issue":"3","key":"6_CR26","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1038\/73439","volume":"24","author":"U. Sherf","year":"2000","unstructured":"Sherf, U., et al.: A gene expression database for the molecular pharmacology of cancer. Nat. Genet.\u00a024(3), 236\u2013244 (2000)","journal-title":"Nat. Genet."},{"unstructured":"Shi, Y.H., Eberhart, R.: A modified particle swarm optimizer. In: Proc. IEEE Int. Conference on Evolutionary Computation, pp. 69\u201373. IEEE Computer Society (1998)","key":"6_CR27"},{"doi-asserted-by":"crossref","unstructured":"Srinivasan, D., Seow, T.H.: Particle swarm inspired evolutionary algorithm (ps-ea) for multi-objective optimization problem. In: IEEE Congress on Evolutionary Computation, CEC 2003, pp. 2292\u20132297. IEEE Press (2003)","key":"6_CR28","DOI":"10.1109\/CEC.2003.1299374"},{"unstructured":"Suganthan, P., Hansen, N., Liang, J., Deb, K., Chen, Y., Auger, A., Tiwari, S.: Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. Technical Report Number 2005005, Nanyang Technological University (2005)","key":"6_CR29"},{"issue":"2","key":"6_CR30","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1109\/TEVC.2007.896686","volume":"12","author":"Y.D. Valle","year":"2008","unstructured":"Valle, Y.D., Venayagamoorthy, G., Mohagheghi, S., Hernandez, J., Harley, R.: Particle swarm optimization: Basic concepts, variants and applications in power systems. IEEE Transactions on Evolutionary Computation\u00a012(2), 171\u2013195 (2008)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"unstructured":"Vanneschi, L.: Theory and Practice for Efficient Genetic Programming. Ph.D. thesis, Faculty of Sciences. University of Lausanne, Switzerland (2004)","key":"6_CR31"},{"doi-asserted-by":"crossref","unstructured":"Vanneschi, L., Codecasa, D., Mauri, G.: An empirical comparison of parallel and distributed particle swarm optimization methods. In: Pelikan, M., Branke, J. (eds.) GECCO, pp. 15\u201322. ACM (2010)","key":"6_CR32","DOI":"10.1145\/1830483.1830487"},{"key":"6_CR33","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1145\/1809018.1809022","volume-title":"Proceeding of the 2nd Workshop on Bio-Inspired Algorithms for Distributed Systems, BADS 2010","author":"L. Vanneschi","year":"2010","unstructured":"Vanneschi, L., Codecasa, D., Mauri, G.: A study of parallel and distributed particle swarm optimization methods. In: Proceeding of the 2nd Workshop on Bio-Inspired Algorithms for Distributed Systems, BADS 2010, pp. 9\u201316. ACM, New York (2010)"},{"doi-asserted-by":"crossref","unstructured":"Vanneschi, L., Codecasa, D., Mauri, G.: A comparative study of four parallel and distributed PSO methods. New Generation Computing (2011) (to appear)","key":"6_CR34","DOI":"10.1007\/s00354-010-0102-z"},{"doi-asserted-by":"crossref","unstructured":"Wang, Y., Yang, Y.: An interactive multi-swarm pso for multiobjective optimization problems. Expert Systems with Applications (2008) (in press), http:\/\/www.sciencedirect.com (to appear)","key":"6_CR35","DOI":"10.1016\/j.eswa.2008.09.017"},{"doi-asserted-by":"crossref","unstructured":"Wu, Z., Zhou, J.: A self-adaptive particle swarm optimization algorithm with individual coefficients adjustment. In: Proc. IEEE International Conference on Computational Intelligence and Security, CIS 2007, pp. 133\u2013136. IEEE Computer Society (2007)","key":"6_CR36","DOI":"10.1109\/CIS.2007.95"},{"doi-asserted-by":"crossref","unstructured":"You, X., Liu, S., Zheng, W.: Double-particle swarm optimization with induction-enhanced evolutionary strategy to solve constrained optimization problems. In: IEEE International Conference on Natural Computing, ICNC 2007, pp. 527\u2013531. IEEE Computer Society (2007)","key":"6_CR37","DOI":"10.1109\/ICNC.2007.337"},{"unstructured":"Zhigljavsky, A., Zilinskas, A.: Stochastic Global Optimization. Springer Optimization and Its Applications, vol.\u00a09 (2008)","key":"6_CR38"},{"doi-asserted-by":"crossref","unstructured":"Zhiming, L., Cheng, W., Jian, L.: Solving contrained optimization via a modified genetic particle swarm optimization. In: Workshop on Knowledge Discovery and Data Mining, WKDD 2008, pp. 217\u2013220. IEEE Computer Society (2008)","key":"6_CR39","DOI":"10.1109\/WKDD.2008.78"}],"container-title":["Studies in Computational Intelligence","Parallel Architectures and Bioinspired Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-28789-3_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:36:05Z","timestamp":1743014165000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-642-28789-3_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642287886","9783642287893"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-28789-3_6","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2012]]}}}