{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T10:26:47Z","timestamp":1747391207679},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642215148"},{"type":"electronic","value":"9783642215155"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-21515-5_26","type":"book-chapter","created":{"date-parts":[[2011,5,30]],"date-time":"2011-05-30T15:33:45Z","timestamp":1306769625000},"page":"221-226","source":"Crossref","is-referenced-by-count":2,"title":["Numerical Integration Method Based on Particle Swarm Optimization"],"prefix":"10.1007","author":[{"given":"Leila","family":"Djerou","sequence":"first","affiliation":[]},{"given":"Naceur","family":"Khelil","sequence":"additional","affiliation":[]},{"given":"Mohamed","family":"Batouche","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"3","key":"26_CR1","first-page":"394","volume":"26","author":"X.-h. Wang","year":"2004","unstructured":"Wang, X.-h., et al.: Numerical Integration Study Based on Triangle Basis Neural Network Algorithm. Journal of Electronics and Information Technology\u00a026(3), 394\u2013399 (2004)","journal-title":"Journal of Electronics and Information Technology"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Eberhart, R.C., Kennedy, J.: A new optimizer using particles swarm theory. In: Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, pp. 39\u201343 (1995)","DOI":"10.1109\/MHS.1995.494215"},{"key":"26_CR3","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1007\/978-3-7091-6230-9_80","volume-title":"Artificial Neural Networks and Genetic Algorithms","author":"K.E. Parsopoulos","year":"2001","unstructured":"Parsopoulos, K.E., Vrahatis, M.N.: Modification of the Particle Swarm Optimizer for Locating all the Global Minima. In: Kurkova, V., et al. (eds.) Artificial Neural Networks and Genetic Algorithms, pp. 324\u2013327. Springer, New York (2001)"},{"key":"26_CR4","unstructured":"Parsopoulos, K.E., et al.: Stretching technique for obtaining global minimizers through particle swarm optimization. In: Proc. of the PSO Workshop, Indianapolis, USA, pp. 22\u201329 (2001)"},{"key":"26_CR5","doi-asserted-by":"publisher","first-page":"3419","DOI":"10.1016\/S0362-546X(01)00457-6","volume":"47","author":"K.E. Parsopoulos","year":"2001","unstructured":"Parsopoulos, K.E., et al.: Objective function stretching to alleviate convergence to local minima. Nonlinear Analysis TMA\u00a047, 3419\u20133424 (2001)","journal-title":"Nonlinear Analysis TMA"},{"key":"26_CR6","unstructured":"Fourie, P.C., Groenwold, A.A.: Particle swarms in size and shape optimization. In: Proceedings of the International Workshop on Multi-disciplinary Design Optimization, Pretoria, South Africa, August 7-10, pp. 97\u2013106 (2000)"},{"key":"26_CR7","unstructured":"Fourie, P.C., Groenwold, A.A.: Particle swarms in topology optimization. In: Extended Abstracts of the Fourth World Congress of Structural and Multidisciplinary Optimization, Dalian, China, June 4-8, pp. 52\u201353 (2001)"},{"key":"26_CR8","volume-title":"Computational Intelligence PC Tools","author":"R.C. Eberhart","year":"1996","unstructured":"Eberhart, R.C., et al.: Computational Intelligence PC Tools. Academic Press Professional, Boston (1996)"},{"key":"26_CR9","first-page":"581","volume":"VII","author":"J. Kennedy","year":"1998","unstructured":"Kennedy, J.: The behaviour of particles. Evol. Progr.\u00a0VII, 581\u2013587 (1998)","journal-title":"Evol. Progr."},{"key":"26_CR10","volume-title":"Swarm Intelligence","author":"J. Kennedy","year":"2001","unstructured":"Kennedy, J., Eberhart, R.C.: Swarm Intelligence. Morgan Kaufmann Publishers, San Francisco (2001)"},{"key":"26_CR11","unstructured":"Shi, Y.H., Eberhart, R.C.: Fuzzy adaptive particle swarm optimization. In: IEEE Int. Conf. on Evolutionary Computation, pp. 101\u2013106 (2001)"},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Shi, Y.H., Eberhart, R.C.: A modified particle swarm optimizer. In: Proc. of the 1998 IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, May 4-9 (1998)","DOI":"10.1109\/ICEC.1998.699146"},{"key":"26_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1007\/BFb0040810","volume-title":"Evolutionary Programming VII","author":"Y.H. Shi","year":"1998","unstructured":"Shi, Y.H., Eberhart, R.C.: Parameter selection in particle swarm optimization. In: Porto, V.W., Waagen, D. (eds.) EP 1998. LNCS, vol.\u00a01447, pp. 591\u2013600. Springer, Heidelberg (1998)"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Clerc, M.: The swarm and the queen: towards a deterministic and adaptive particle swarm optimization. In: Proceedings of the 1999 IEEE Congress on Evolutionary Computation, Washington DC, pp. 1951\u20131957 (1999)","DOI":"10.1109\/CEC.1999.785513"},{"key":"26_CR15","unstructured":"Eberhart, R.C., Shi, Y.: Parameter selection in particle swarm optimization. In: Porto, V.W. (ed.) (1998)"},{"issue":"6","key":"26_CR16","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/S0020-0190(02)00447-7","volume":"85","author":"T.I. Cristian","year":"2003","unstructured":"Cristian, T.I.: The particle swarm optimization algorithm: convergence analysis and parameter selection. Information Processing Letters\u00a085(6), 317\u2013325 (2003)","journal-title":"Information Processing Letters"},{"issue":"1-2","key":"26_CR17","first-page":"152","volume":"2","author":"A. Zerarka","year":"2006","unstructured":"Zerarka, A., Khelil, N.: A generalized integral quadratic method: improvement of the solution for one dimensional Volterra integral equation using particle swarm optimization. Int. J. Simulation and Process Modelling\u00a02(1-2), 152\u2013163 (2006)","journal-title":"Int. J. Simulation and Process Modelling"},{"issue":"3","key":"26_CR18","first-page":"171","volume":"1","author":"A. Zerarka","year":"2009","unstructured":"Zerarka, A., Soukeur, A., Khelil, N.: The particle swarm optimization against the Runge\u2019s phenomenon: Application to the generalized integral quadrature method. International Journal of Mathematical and Statistical Sciences\u00a01(3), 171\u2013176 (2009)","journal-title":"International Journal of Mathematical and Statistical Sciences"},{"key":"26_CR19","unstructured":"Khelil, N., et al.: Improvement of Gregory\u2019s formula using Particle Swarm Optimization. In: The proceeding of International Conference on Computer and Applied Mathematics, vol.\u00a058, pp. 940\u2013942 (2009)"}],"container-title":["Lecture Notes in Computer Science","Advances in Swarm Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-21515-5_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,28]],"date-time":"2019-03-28T03:24:40Z","timestamp":1553743480000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-21515-5_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642215148","9783642215155"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-21515-5_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}