{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T18:06:51Z","timestamp":1758478011364},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2016,11,9]],"date-time":"2016-11-09T00:00:00Z","timestamp":1478649600000},"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":["Auton Agent Multi-Agent Syst"],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1007\/s10458-016-9350-8","type":"journal-article","created":{"date-parts":[[2016,11,9]],"date-time":"2016-11-09T09:47:08Z","timestamp":1478684828000},"page":"362-385","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["A novel abstraction for swarm intelligence: particle field optimization"],"prefix":"10.1007","volume":"31","author":[{"given":"Nathan","family":"Bell","sequence":"first","affiliation":[]},{"given":"B. John","family":"Oommen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,11,9]]},"reference":[{"key":"9350_CR1","doi-asserted-by":"crossref","unstructured":"Angeline, P.J. (1998). Using selection to improve particle swarm optimization. IEEE international conference on computational intelligence.","DOI":"10.1109\/ICEC.1998.699327"},{"key":"9350_CR2","unstructured":"Bell, N. (2014). Swarm optimization using agents modeled as distributions. MCS Thesis, Carelton University."},{"key":"9350_CR3","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/4235.985692","volume":"6","author":"M Clerc","year":"2002","unstructured":"Clerc, M., & Kennedy, J. (2002). The particle swarm\u2014explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation, 6, 58\u201373.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"9350_CR4","first-page":"84","volume":"1","author":"R Eberhart","year":"2000","unstructured":"Eberhart, R., & Shi, Y. (2000). Comparing inertia weights and constriction factors in particle swarm optimization. Congress on Evolutionary Computation, 1, 84\u201388.","journal-title":"Congress on Evolutionary Computation"},{"key":"9350_CR5","doi-asserted-by":"crossref","unstructured":"Higashi, N., & Iba, H. (2003). Particle swarm optimization with gaussian mutation. IEEE swarm intelligence symposium (pp. 72\u201379).","DOI":"10.1109\/SIS.2003.1202250"},{"key":"9350_CR6","doi-asserted-by":"crossref","unstructured":"Kennedy, J. (2003). Bare bones particle swarms. IEEE swarm intelligence symposium (pp. 80\u201387).","DOI":"10.1109\/SIS.2003.1202251"},{"key":"9350_CR7","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1109\/ICNN.1995.488968","volume":"4","author":"J Kennedy","year":"1995","unstructured":"Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. IEEE International Conference on Neural Networks, 4, 1942\u20131948.","journal-title":"IEEE International Conference on Neural Networks"},{"key":"9350_CR8","first-page":"1671","volume":"2","author":"J Kennedy","year":"2002","unstructured":"Kennedy, J., & Mendes, R. (2002). Population structure and particle swarm performance. Congress on Evolutionary Computation, 2, 1671\u20131676.","journal-title":"Congress on Evolutionary Computation"},{"key":"9350_CR9","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1023\/A:1021956306041","volume":"25","author":"M Locatelli","year":"2003","unstructured":"Locatelli, M. (2003). A note on the Griewank test function. Journal of Global Optimization, 25, 169\u2013174.","journal-title":"Journal of Global Optimization"},{"key":"9350_CR10","unstructured":"Lovbjerg, M., Rasmussen, T.\u00a0K., & Krink, T. (2001). Hybrid particle swarm optimiser with breeding and subpopulations. Genetic and evolutionary computation conference (pp. 469\u2013476)."},{"key":"9350_CR11","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1109\/TEVC.2004.826074","volume":"8","author":"R Mendes","year":"2004","unstructured":"Mendes, R., Kennedy, J., & Neves, J. (2004). The fully informed particle swarm: Simpler, maybe better. IEEE Transactions on Evolutionary Computation, 8, 204\u2013210.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"9350_CR12","doi-asserted-by":"crossref","unstructured":"Monson, C.\u00a0K., & Seppi, K.\u00a0D. (2005). Exposing origin-seeking bias in pso. Conference on genetic and evolutionary computation, GECCO \u201905 (pp. 241\u2013248).","DOI":"10.1145\/1068009.1068045"},{"key":"9350_CR13","first-page":"253","volume":"8","author":"E Ozcan","year":"1998","unstructured":"Ozcan, E., & Mohan, C. K. (1998). Analysis of a simple particle swarm optimization system. Intelligent engineering systems through artificial neural networks, 8, 253\u2013258.","journal-title":"Intelligent engineering systems through artificial neural networks"},{"key":"9350_CR14","first-page":"1939","volume":"3","author":"E Ozcan","year":"1999","unstructured":"Ozcan, E., & Mohan, C. K. (1999). Particle swarm optimization: Surfing the waves. Congress on Evolutionary Computation, 3, 1939\u20131944.","journal-title":"Congress on Evolutionary Computation"},{"key":"9350_CR15","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1109\/TEVC.2004.826071","volume":"8","author":"A Ratnaweera","year":"2004","unstructured":"Ratnaweera, A., Halgamuge, S., & Watson, H. C. (2004). Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Transactions on Evolutionary Computation, 8, 240\u2013255.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"9350_CR16","doi-asserted-by":"crossref","unstructured":"Settles, M., & Soule, T. (2005). Breeding swarms: A ga\/pso hybrid. Conference on genetic and evolutionary computation, GECCO \u201905 (pp. 161\u2013168).","DOI":"10.1145\/1068009.1068035"},{"key":"9350_CR17","first-page":"1945","volume":"3","author":"Y Shi","year":"1999","unstructured":"Shi, Y., & Eberhart, R. (1999). Empirical study of particle swarm optimization. Congress on Evolutionary Computation, 3, 1945\u20131950.","journal-title":"Congress on Evolutionary Computation"},{"key":"9350_CR18","first-page":"2951","volume":"25","author":"J Snoek","year":"2012","unstructured":"Snoek, J., Larochelle, H., & Adams, R. P. (2012). Practical bayesian optimization of learning algorithms. Neural Information Processing Systems, 25, 2951\u20132959.","journal-title":"Neural Information Processing Systems"},{"key":"9350_CR19","doi-asserted-by":"crossref","first-page":"34","DOI":"10.4018\/jsir.2010040103","volume":"1","author":"WM Spears","year":"2010","unstructured":"Spears, W. M., Green, D. T., & Spears, D. F. (2010). Biases in particle swarm optimization. International Journal of Swarm Intelligence and Research, 1, 34\u201357.","journal-title":"International Journal of Swarm Intelligence and Research"},{"key":"9350_CR20","doi-asserted-by":"crossref","unstructured":"Thompson, W. R. (1933). On the likelihood that one unknown probability exceeds another in view of the evidence of two samples. Biometrika. 25, 285\u2013294.","DOI":"10.1093\/biomet\/25.3-4.285"},{"key":"9350_CR21","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"DH Wolpert","year":"1997","unstructured":"Wolpert, D. H., & Macready, W. G. (1997). No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation, 1, 67\u201382.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"9350_CR22","unstructured":"Zhan, Z. H., Zhang, J., & Chung, H. S. H. (2009). Adaptive particle swarm optimization. IEEE transactions on systems, man, and cybernetics, part B: Cybernetics (Vol. 39, pp. 1362\u20131381). IEEE Swarm Intelligence Symposium, 2003 (pp. 80\u201387)."}],"container-title":["Autonomous Agents and Multi-Agent Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10458-016-9350-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10458-016-9350-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10458-016-9350-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,15]],"date-time":"2019-09-15T11:43:27Z","timestamp":1568547807000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10458-016-9350-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,9]]},"references-count":22,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,3]]}},"alternative-id":["9350"],"URL":"https:\/\/doi.org\/10.1007\/s10458-016-9350-8","relation":{},"ISSN":["1387-2532","1573-7454"],"issn-type":[{"value":"1387-2532","type":"print"},{"value":"1573-7454","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,11,9]]}}}