{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T08:44:46Z","timestamp":1772786686738,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":23,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540708261","type":"print"},{"value":"9783540708292","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-70829-2_2","type":"book-chapter","created":{"date-parts":[[2008,9,5]],"date-time":"2008-09-05T15:46:08Z","timestamp":1220629568000},"page":"11-28","source":"Crossref","is-referenced-by-count":18,"title":["Opposition-Based Computing"],"prefix":"10.1007","author":[{"given":"H. R.","family":"Tizhoosh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario","family":"Ventresca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shahryar","family":"Rahnamayan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"2_CR1","unstructured":"The American Heritage Dictionary of the English Language. Houghton Mifflin (2000)"},{"key":"2_CR2","doi-asserted-by":"crossref","DOI":"10.1201\/9781420057669","volume-title":"Bayes and Empirical Bayes Methods for Data Analysis","author":"B.P. Carlin","year":"2000","unstructured":"Carlin, B.P., Louis, T.A., Carlin, B.: Bayes and Empirical Bayes Methods for Data Analysis. Chapman and Hall\/CRC, Boca Raton (2000)"},{"issue":"3","key":"2_CR3","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1109\/TNN.2004.824413","volume":"15","author":"C. Cervellera","year":"2004","unstructured":"Cervellera, C., Muselli, M.: Deterministic Design for Neural Network Learning: An Approach based on Discrepancy. IEEE Transactions on Neural Networks\u00a015(3), 533\u2013544 (2004)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"2_CR4","volume-title":"Numerical Methods for Engineers","author":"S.C. Chapra","year":"2005","unstructured":"Chapra, S.C., Canale, R.P.: Numerical Methods for Engineers. McGraw-Hill Education, New York (2005)"},{"issue":"7","key":"2_CR5","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.1016\/j.patcog.2003.12.015","volume":"37","author":"V. Cheng","year":"2004","unstructured":"Cheng, V., Li, C.H., Kwok, J.T., Li, C.K.: Dissimilarity learning for nominal data. Pattern Recognition\u00a037(7), 1471\u20131477 (2004)","journal-title":"Pattern Recognition"},{"key":"2_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/3-540-46695-9_22","volume-title":"Advanced Topics in Artificial Intelligence","author":"I. Jordanov","year":"1999","unstructured":"Jordanov, I., Brown, R.: Neural Network Learning Using Low-Discrepancy Sequence. In: Foo, N.Y. (ed.) Canadian AI 1999. LNCS, vol.\u00a01747, pp. 255\u2013267. Springer, Heidelberg (1999)"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Kimura, S., Matsumura, K.: Genetic Algorithms using Low-Discrepancy Sequences. In: Genetic and Evolutionary Computation Conference, pp. 1341\u20131346 (2005)","DOI":"10.1145\/1068009.1068225"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Kucherenko, S.: Application of Quasi Monte Carlo Methods in Global Optimization. In: Global Optimization, pp. 111\u2013133 (2006)","DOI":"10.1007\/0-387-30528-9_5"},{"key":"2_CR9","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1007\/s10589-005-4615-1","volume":"30","author":"S. Kucherenko","year":"2005","unstructured":"Kucherenko, S., Sytsko, Y.: Application of Deterministic Low-Discrepancy Sequences in Global Optimization. Computational Optimization and Applications\u00a030, 297\u2013318 (2005)","journal-title":"Computational Optimization and Applications"},{"issue":"12","key":"2_CR10","doi-asserted-by":"publisher","first-page":"3250","DOI":"10.1109\/TIT.2004.838101","volume":"50","author":"M. Li","year":"2004","unstructured":"Li, M., Chen, X., Li, X., Ma, B., Vitanyi, P.M.B.: The similarity metric. IEEE Transactions on Information Theory\u00a050(12), 3250\u20133264 (2004)","journal-title":"IEEE Transactions on Information Theory"},{"issue":"12","key":"2_CR11","doi-asserted-by":"publisher","first-page":"1885","DOI":"10.1016\/j.camwa.2003.07.011","volume":"47","author":"H. Maaranen","year":"2004","unstructured":"Maaranen, H., Miettinen, K., Makela, M.M.: Quasi-random Initial Population for Genetic Algorithms. Computers and Mathematics with Applications\u00a047(12), 1885\u20131895 (2004)","journal-title":"Computers and Mathematics with Applications"},{"key":"2_CR12","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/s10898-006-9056-6","volume":"37","author":"H. Maaranen","year":"2007","unstructured":"Maaranen, H., Miettinen, K., Penttinen, A.: On Initial Populations of a Genetic Algorithm for Continuous Optimization Problems. Journal of Global Optimization\u00a037, 405\u2013436 (2007)","journal-title":"Journal of Global Optimization"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Nguyen, Q., Nguyen, X., McKay, R., Tuan, P.: Initialising PSO with Randomised Low-Discrepancy Sequences: The Comparative Results. In: Congress on Evolutionary Computation, pp. 1985\u20131992 (2007)","DOI":"10.1109\/CEC.2007.4424717"},{"key":"2_CR14","doi-asserted-by":"crossref","unstructured":"Nguyen, X., Nguyen, Q., McKay, R.: Pso with Randomized Low-Discrepancy Sequences. In: Genetic and Evolutionary Computation Conference, p. 173 (2007)","DOI":"10.1145\/1276958.1276987"},{"issue":"2","key":"2_CR15","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/BF02253124","volume":"22","author":"H. Niederreiter","year":"1979","unstructured":"Niederreiter, H., McCurley, K.: Optimization of Functions by Quasi-random Search Methods. Computing\u00a022(2), 119\u2013123 (1979)","journal-title":"Computing"},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Pant, M., Thangaraj, R., Grosan, C., Abraham, A.: Improved Particle Swarm Optimization with Low-Discrepancy Sequences. In: Congress on Evolutionary Computation (to appear, 2008)","DOI":"10.1109\/CEC.2008.4631204"},{"issue":"10","key":"2_CR17","doi-asserted-by":"publisher","first-page":"1605","DOI":"10.1016\/j.camwa.2006.07.013","volume":"53","author":"S. Rahnamayana","year":"2007","unstructured":"Rahnamayana, S., Tizhoosh, H.R., Salamaa, M.: A Novel Population Initialization Method for Accelerating Evolutionary Algorithms. Computers and Mathematics with Applications\u00a053(10), 1605\u20131614 (2007)","journal-title":"Computers and Mathematics with Applications"},{"issue":"2","key":"2_CR18","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1016\/j.asoc.2007.07.010","volume":"8","author":"S. Rahnamayana","year":"2008","unstructured":"Rahnamayana, S., Tizhoosh, H.R., Salamaa, M.: Opposition versus randomness in soft computing techniques. Applied Soft Computing\u00a08(2), 906\u2013918 (2008)","journal-title":"Applied Soft Computing"},{"issue":"4","key":"2_CR19","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1016\/S0360-8352(00)00011-5","volume":"37","author":"B.R. Sarker","year":"1999","unstructured":"Sarker, B.R., Saiful Islam, K.M.: Relative performances of similarity and dissimilarity measures. Computers and Industrial Engineering\u00a037(4), 769\u2013807 (1999)","journal-title":"Computers and Industrial Engineering"},{"issue":"5","key":"2_CR20","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1016\/j.jmp.2005.06.001","volume":"49","author":"N. Stewart","year":"2005","unstructured":"Stewart, N., Brown, G.D.A.: Similarity and dissimilarity as evidence in perceptual categorization. Journal of Mathematical Psychology\u00a049(5), 403\u2013409 (2005)","journal-title":"Journal of Mathematical Psychology"},{"key":"2_CR21","doi-asserted-by":"crossref","unstructured":"Tizhoosh, H.R.: Opposition-Based Learning: A New Scheme for Machine Intelligence. In: International Conference on Computational Intelligence for Modelling Control and Automation, vol.\u00a01, pp. 695\u2013701 (2005)","DOI":"10.1109\/CIMCA.2005.1631345"},{"issue":"4","key":"2_CR22","doi-asserted-by":"crossref","first-page":"578","DOI":"10.20965\/jaciii.2006.p0578","volume":"10","author":"H.R. Tizhoosh","year":"2006","unstructured":"Tizhoosh, H.R.: Opposition-based reinforcement learning. Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII)\u00a010(4), 578\u2013585 (2006)","journal-title":"Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII)"},{"issue":"4","key":"2_CR23","doi-asserted-by":"publisher","first-page":"532","DOI":"10.1007\/BF02669707","volume":"17","author":"Z. Yaochen","year":"2001","unstructured":"Yaochen, Z.: On the Convergence of Sequential Number-Theoretic Method for Optimization. Acta Mathematicae Applicatae Sinica\u00a017(4), 532\u2013538 (2001)","journal-title":"Acta Mathematicae Applicatae Sinica"}],"container-title":["Studies in Computational Intelligence","Oppositional Concepts in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-70829-2_2.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,19]],"date-time":"2020-11-19T05:10:36Z","timestamp":1605762636000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-70829-2_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540708261","9783540708292"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-70829-2_2","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"value":"1860-949X","type":"print"},{"value":"1860-9503","type":"electronic"}],"subject":[]}}