{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:32:10Z","timestamp":1781105530527,"version":"3.54.1"},"reference-count":24,"publisher":"IGI Global Scientific Publishing","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,7,1]]},"abstract":"<p>Quantitative analysis of the failures and crashes in simulation of climate models can yield useful insights to better understanding and improvement of the models results using Intergovernmental Panel on Climate Change (IPCC) class. In this paper, the authors propose a new technique inspired by termite's hill building behavior to analyze a series of simulation in climate models and predict which one was succeeded within the Parallel Ocean Program (POP2) component of the community Climate System Model (CCSM4). The authors' approach is a distance based approach used to predict the success of the values of 18 POP2 parameters. And in order to predict better results, they used for each experiment one of the studies as a training set and two as a test set, then they used two of the studies as a training set and one as a test set. Results of classification were very satisfactory (Accuracy &gt; 0.87). This paper gives a very useful method to quantify, predict, and understand simulation success in climate models.<\/p>","DOI":"10.4018\/ijsir.2017070103","type":"journal-article","created":{"date-parts":[[2017,5,5]],"date-time":"2017-05-05T08:35:57Z","timestamp":1493973357000},"page":"43-60","source":"Crossref","is-referenced-by-count":1,"title":["New Approach Based on Termite's Hill Building for Prediction of Successful Simulations in Climate Models"],"prefix":"10.4018","volume":"8","author":[{"given":"Mohamed Elhadi","family":"Rahmani","sequence":"first","affiliation":[{"name":"GeCoDe Laboratory, Department of Computer Science, University of Dr. Tahar Moulay, Saida, Algeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdelmalek","family":"Amine","sequence":"additional","affiliation":[{"name":"GeCoDe Laboratory, Department of Computer Science, University of Dr. Tahar Moulay, Saida, Algeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0388-1275","authenticated-orcid":true,"given":"Reda Mohamed","family":"Hamou","sequence":"additional","affiliation":[{"name":"GeCoDe Laboratory, Department of Computer Science, University of Dr. Tahar Moulay, Saida, Algeria"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"issue":"3","key":"IJSIR.2017070103-0","doi-asserted-by":"crossref","first-page":"34","DOI":"10.4018\/IJIRR.2014070103","article-title":"Text Clustering using Distances Combination by Social Bees: Towards 3D Visualisation Aspect.","volume":"4","author":"H. A.Bouarara","year":"2014","journal-title":"International Journal of Information Retrieval Research"},{"key":"IJSIR.2017070103-1","doi-asserted-by":"publisher","DOI":"10.4018\/IJSIR.2015070101"},{"key":"IJSIR.2017070103-2","doi-asserted-by":"publisher","DOI":"10.4018\/IJSIR.2017010102"},{"key":"IJSIR.2017070103-3","doi-asserted-by":"publisher","DOI":"10.1109\/MS.2011.117"},{"key":"IJSIR.2017070103-4","unstructured":"Davis, L. (1991). Handbook of genetic algorithms."},{"key":"IJSIR.2017070103-5","doi-asserted-by":"publisher","DOI":"10.1145\/1882362.1882383"},{"key":"IJSIR.2017070103-6","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2009.193"},{"key":"IJSIR.2017070103-7","doi-asserted-by":"publisher","DOI":"10.1109\/MHS.1995.494215"},{"key":"IJSIR.2017070103-8","doi-asserted-by":"crossref","unstructured":"Fidelis, M. V., Lopes, H. S., & Freitas, A. A. (2000). Discovering comprehensible classification rules with a genetic algorithm. Proceedings of the 2000 Congress on Evolutionary Computation (Vol. 1, pp. 805-810). IEEE.","DOI":"10.1109\/CEC.2000.870381"},{"key":"IJSIR.2017070103-9","doi-asserted-by":"publisher","DOI":"10.1175\/2011JCLI4083.1"},{"key":"IJSIR.2017070103-10","author":"F.Glover","year":"2013","journal-title":"Tabu Search"},{"key":"IJSIR.2017070103-11","article-title":"A discrete modified fireworks algorithm for community detection in complex networks.","author":"M.Guendouz","year":"2016","journal-title":"Applied Intelligence"},{"key":"IJSIR.2017070103-12","author":"J.Han","year":"2011","journal-title":"Data mining: concepts and techniques"},{"key":"IJSIR.2017070103-13","doi-asserted-by":"publisher","DOI":"10.1504\/IJBIC.2014.059970"},{"key":"IJSIR.2017070103-14","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.10.046"},{"key":"IJSIR.2017070103-15","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-6-1157-2013"},{"key":"IJSIR.2017070103-16","doi-asserted-by":"publisher","DOI":"10.4018\/IJSIR.2015070103"},{"key":"IJSIR.2017070103-17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-33410-3_6"},{"key":"IJSIR.2017070103-18","doi-asserted-by":"publisher","DOI":"10.4018\/IJOCI.2016010102"},{"key":"IJSIR.2017070103-19","doi-asserted-by":"crossref","unstructured":"Roth, M., & Wicker, S. (2005). Asymptotic pheromone behavior in swarm intelligent MANETs. In Mobile and Wireless Communication Networks (pp. 335-346). Springer US.","DOI":"10.1007\/0-387-23150-1_29"},{"key":"IJSIR.2017070103-20","author":"C.Sammut","year":"2011","journal-title":"Encyclopedia of machine learning"},{"key":"IJSIR.2017070103-21","doi-asserted-by":"crossref","unstructured":"Wang, Z., Sun, X., & Zhang, D. (2007, August). A PSO-based classification rule mining algorithm. Proceedings of the International Conference on Intelligent Computing (pp. 377-384). Springer Berlin Heidelberg.","DOI":"10.1007\/978-3-540-74205-0_42"},{"key":"IJSIR.2017070103-22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12538-6_6"},{"key":"IJSIR.2017070103-23","doi-asserted-by":"crossref","unstructured":"Zungeru, A. M., Ang, L. M., & Seng, Zungeru, A. M., Ang, L. M., & Seng, K. P. (2013). Termite-hill: From natural to artificial termites in sensor networks. arXiv preprint arXiv:1303.1119","DOI":"10.1155\/2013\/759654"}],"container-title":["International Journal of Swarm Intelligence Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=181694","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T14:45:18Z","timestamp":1651848318000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJSIR.2017070103"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2017,7,1]]},"references-count":24,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2017,7]]}},"URL":"https:\/\/doi.org\/10.4018\/ijsir.2017070103","relation":{},"ISSN":["1947-9263","1947-9271"],"issn-type":[{"value":"1947-9263","type":"print"},{"value":"1947-9271","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,7,1]]}}}