{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T09:42:21Z","timestamp":1750066941436,"version":"3.37.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319624099"},{"type":"electronic","value":"9783319624105"}],"license":[{"start":{"date-parts":[[2017,6,21]],"date-time":"2017-06-21T00:00:00Z","timestamp":1498003200000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-62410-5_33","type":"book-chapter","created":{"date-parts":[[2017,6,20]],"date-time":"2017-06-20T00:23:02Z","timestamp":1497918182000},"page":"270-277","source":"Crossref","is-referenced-by-count":6,"title":["Trends in Gravitational Search Algorithm"],"prefix":"10.1007","author":[{"given":"P. B.","family":"de Moura Oliveira","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Josenalde","family":"Oliveira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9 Boaventura","family":"Cunha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,21]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"1. Rashedi E., Nezamabadi-pour H., and Saryazdi S.: GSA: A Gravitational Search Algorithm. Information Sciences, 179: 2232\u20132248, (2009).","DOI":"10.1016\/j.ins.2009.03.004"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"2. Precup R.-E., David R.-C., Petriu E., Preitl S. and R\u0103dac M.-B.: Gravitational Search Algorithms in Fuzzy Control Systems Tuning. Preprints of the 18th IFAC World Congress, pp. 13624\u201313629, (2011).","DOI":"10.3182\/20110828-6-IT-1002.00938"},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"3. Rashedi E. and Nezamabadi-pour H.: A stochastic gravitational approach to feature based color image segmentation. Eng. Applic. of Artificial Intelligence. 26: 1322\u20131332, (2013).","DOI":"10.1016\/j.engappai.2012.10.002"},{"key":"33_CR4","doi-asserted-by":"crossref","unstructured":"4. Chen Z., Xiaohui Y., Tian H. and Ji B.: Improved gravitational search algorithm for parameter identification of water turbine regulation system. Energy Conversion and Management 78: 306\u2013315, (2014).","DOI":"10.1016\/j.enconman.2013.10.060"},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"5. Xiang J., Han X. H., Duan F., Qiang Y., Xiong X. Y., Lan Y. and Chai H.: A novel hybrid system for feature selection based on an improved gravitational search algorithm and k-NN method. Applied Soft Computing 31: 293\u2013307, (2015).","DOI":"10.1016\/j.asoc.2015.01.043"},{"key":"33_CR6","doi-asserted-by":"crossref","unstructured":"6. Oliveira P. B. M., Pires E. S. and Novais P.: Design of Posicast PID control systems using a gravitational search algorithm. Neurocomputing 167:18\u201323, (2015).","DOI":"10.1016\/j.neucom.2014.12.101"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"7. Sarjila R., Ravi K., Edward J., Kumar K. and Prasad A.: Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm. Journal of Electrical and Computer Engineering Volume (2016), Article ID 2143572, 6 pages \nhttp:\/\/dx.doi.org\/10.1155\/2016\/2143572\n\n.","DOI":"10.1155\/2016\/2143572"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"8. Ghavidel S., Aghaei J., Muttaqi K. and Heidari A.: Renewable energy management in a remote area using modified gravitational search algorithm. Energy 97: 391\u2013399, (2016).","DOI":"10.1016\/j.energy.2015.12.132"},{"key":"33_CR9","doi-asserted-by":"crossref","unstructured":"9. Mirjalili S. and Hashim S.: A New Hybrid PSOGSA Algorithm for Function Optimization. Proc. of the Int. Conf. on Computer and Information Application, pp. 374\u2013377, (2010).","DOI":"10.1109\/ICCIA.2010.6141614"},{"key":"33_CR10","doi-asserted-by":"crossref","unstructured":"10.\tMirjalili S., Hashim S. and Sardroudi S.: Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm. Applied Mathematics and Computation 218:11125\u201311137, (2012).","DOI":"10.1016\/j.amc.2012.04.069"},{"key":"33_CR11","doi-asserted-by":"crossref","unstructured":"11. Jianga S., Wanga Y. and Jiaa Z.: Convergence analysis and performance of an improved gravitational search algorithm. Applied Soft Computing 24:363\u2013384, (2014).","DOI":"10.1016\/j.asoc.2014.07.016"},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"12. Das P., Behera H. and Panigrahi B.:A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning. Swarm and Evolutionary Computation 28:14\u201328, (2016).","DOI":"10.1016\/j.swevo.2015.10.011"},{"key":"33_CR13","doi-asserted-by":"crossref","unstructured":"13. Sun G., Zhang A., Wang Z., Yao Y. and Ma J.: Locally informed gravitational search algorithm. Knowledge-Based Systems 104:134\u2013144, (2016).","DOI":"10.1016\/j.knosys.2016.04.017"},{"key":"33_CR14","doi-asserted-by":"crossref","unstructured":"14. Suna G., Zhanga A., Yao Y. and Wang Z.: A novel hybrid algorithm of gravitational search algorithm with genetic algorithm for multi-level thresholding. Applied Soft Computing 46:703\u2013730, (2016).","DOI":"10.1016\/j.asoc.2016.01.054"},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"15. Gauci M., Dodd T. J. and Gro\u00df R: Why \u2018GSA: a gravitational search algorithm\u2019 is not genuinely based on the law of gravity. Natural Computing, 11:719\u2013720, (2012).","DOI":"10.1007\/s11047-012-9322-0"},{"key":"33_CR16","doi-asserted-by":"publisher","unstructured":"16. Darzi S., Tiong S., Islam M., Soleymanpour H. and Kibria S.: An experience oriented-convergence improved gravitational search algorithm for minimum variance distortion less response beamforming optimum. PLoSONE11,doi:\n10.1371\/journal.pone.0156749\n\n, (2016).","DOI":"10.1371\/journal.pone.0156749"},{"key":"33_CR17","unstructured":"17. Rashedi R.: GSA source code. \nhttps:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/27756-gravitational-search-algorithm--gsa-\n\n, Retrieved in 22-3-2017."}],"container-title":["Advances in Intelligent Systems and Computing","Distributed Computing and Artificial Intelligence, 14th International Conference"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-62410-5_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,20]],"date-time":"2017-06-20T00:35:55Z","timestamp":1497918955000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-62410-5_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,21]]},"ISBN":["9783319624099","9783319624105"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-62410-5_33","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2017,6,21]]}}}