2010 10th International Conference on Hybrid Intelligent Systems最新文献

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A new hybrid nature-inspired metaheuristic for problem solving based on the Social Interaction Genetic Algorithm employing Fuzzy Systems 一种基于模糊系统的社会交互遗传算法的混合型自然启发式问题求解方法
2010 10th International Conference on Hybrid Intelligent Systems Pub Date : 2010-08-01 DOI: 10.1109/HIS.2010.5600030
O. N. Teixeira, Walter Avelino da Luz Lobato, C. Yasojima, F. Brito, A. Teixeira, R. C. L. Oliveira
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引用次数: 2
Search personalization in hyperlinked environments by relevance propagation and ant colony optimization 基于关联传播和蚁群优化的超链接环境下搜索个性化
2010 10th International Conference on Hybrid Intelligent Systems Pub Date : 2010-08-01 DOI: 10.1109/HIS.2010.5600017
P. Krömer, V. Snás̃el, J. Platoš, S. Owais
{"title":"Search personalization in hyperlinked environments by relevance propagation and ant colony optimization","authors":"P. Krömer, V. Snás̃el, J. Platoš, S. Owais","doi":"10.1109/HIS.2010.5600017","DOIUrl":"https://doi.org/10.1109/HIS.2010.5600017","url":null,"abstract":"Personalization is a promising way of improvement of the search services in large document collections and on the Web. User modeling is in the core of many personalization efforts because accurate user model can provide essential information for user specific search adjustments and result set processing. In this paper, we propose and study user modeling technique based on click-through data, relevance propagation and ant colony optimization.","PeriodicalId":174618,"journal":{"name":"2010 10th International Conference on Hybrid Intelligent Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125097009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Efficient protein-ligand docking using sustainable evolutionary algorithms 基于可持续进化算法的高效蛋白质配体对接
2010 10th International Conference on Hybrid Intelligent Systems Pub Date : 2010-07-07 DOI: 10.1145/1830483.1830521
Emrah Atilgan, Jianjun Hu
{"title":"Efficient protein-ligand docking using sustainable evolutionary algorithms","authors":"Emrah Atilgan, Jianjun Hu","doi":"10.1145/1830483.1830521","DOIUrl":"https://doi.org/10.1145/1830483.1830521","url":null,"abstract":"AutoDock is a widely used automated protein docking program in structure-based drug-design. Different search algorithms such as simulated annealing, traditional genetic algorithm (GA) and Lamarckian genetic algorithm (LGA) are implemented in AutoDock. However, the docking performance of these algorithms is still limited by the local optima issue of simulated annealing or the premature convergence issue typical in traditional evolutionary algorithms (EA). Due to the stochastic nature of these search algorithms, users usually need to run multiple times to get reasonable docking results, which is time-consuming. We have developed a new docking program AutoDockX by applying a sustainable GA, Age-Layered Population Structure (ALPS) to the protein docking problem. We tested the docking performance over three different proteins (pr, cox and hsp90) with more than 20 candidate ligands for each protein. Our experiments showed that the sustainable GA based AutodockX achieved significantly better docking performance in terms of running time and robustness than all the existing search algorithms implemented in the latest version of AutoDock. AutodockX thus has unique advantages in large-scale virtual screening.","PeriodicalId":174618,"journal":{"name":"2010 10th International Conference on Hybrid Intelligent Systems","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116449066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
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