DEBUT 发表于 2025-3-21 19:30:37
书目名称Intelligent Computing Theories and Application影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469487<br><br> <br><br>书目名称Intelligent Computing Theories and Application影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469487<br><br> <br><br>书目名称Intelligent Computing Theories and Application网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469487<br><br> <br><br>书目名称Intelligent Computing Theories and Application网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469487<br><br> <br><br>书目名称Intelligent Computing Theories and Application被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469487<br><br> <br><br>书目名称Intelligent Computing Theories and Application被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469487<br><br> <br><br>书目名称Intelligent Computing Theories and Application年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469487<br><br> <br><br>书目名称Intelligent Computing Theories and Application年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469487<br><br> <br><br>书目名称Intelligent Computing Theories and Application读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469487<br><br> <br><br>书目名称Intelligent Computing Theories and Application读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469487<br><br> <br><br>metropolitan 发表于 2025-3-21 21:30:02
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/469487.jpgintoxicate 发表于 2025-3-22 11:32:30
A Novel Binary Particle Swarm Optimization for Multiple Sequence Alignment,erated on two benchmarks, i.e., OX-Bench and BAliBASE. Experiments show that, NBPSO-MSA outperforms other 12 state-of-the art aligners in accuracy, the trajectories of particles show that, diversity index and mutation help multi-swarm NBPSO jump out of local optima and lead to rapid convergence.乐意 发表于 2025-3-22 15:59:05
A Decomposition-Based Hybrid Estimation of Distribution Algorithm for Practical Mean-CVaR Portfolioesigned to improve the solutions obtained in the initialization stage and the search process, respectively. The proposed decomposition-based hybrid EDA (DHEDA) is tested on real-world datasets and compared with an existing algorithm. Numerical results demonstrate the effectiveness and efficiency ofcountenance 发表于 2025-3-22 20:43:14
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A Novel Framework for Improving the Prediction of Disease-Associated MicroRNAs,ombine the calculated scores with the potential negative interactions to get the final correlation scores. We conduct comprehensive experiments including 5-fold cross validation (5-fold CV) and leave-one-out cross validation (LOOCV) to indicate that our framework has some advantages including improv