標題: Titlebook: Applications of Evolutionary Computation; 19th European Confer Giovanni Squillero,Paolo Burelli Conference proceedings 2016 Springer Intern [打印本頁] 作者: Iridescent 時間: 2025-3-21 18:09
書目名稱Applications of Evolutionary Computation影響因子(影響力)
書目名稱Applications of Evolutionary Computation影響因子(影響力)學科排名
書目名稱Applications of Evolutionary Computation網(wǎng)絡公開度
書目名稱Applications of Evolutionary Computation網(wǎng)絡公開度學科排名
書目名稱Applications of Evolutionary Computation被引頻次
書目名稱Applications of Evolutionary Computation被引頻次學科排名
書目名稱Applications of Evolutionary Computation年度引用
書目名稱Applications of Evolutionary Computation年度引用學科排名
書目名稱Applications of Evolutionary Computation讀者反饋
書目名稱Applications of Evolutionary Computation讀者反饋學科排名
作者: deviate 時間: 2025-3-21 21:19 作者: folliculitis 時間: 2025-3-22 04:25 作者: 切掉 時間: 2025-3-22 04:41
Evolving Classification Models for Prediction of Patient Recruitment in Multicentre Clinical Trials trial data. There exists a pressing need to develop better tools/techniques to optimise patient recruitment in multicentre clinical trials. In this study Grammatical Evolution (GE) is used to evolve classification models to predict future patient enrolment performance of investigators/site to be se作者: 發(fā)生 時間: 2025-3-22 09:16 作者: instill 時間: 2025-3-22 14:15
Evolutionary Multiobjective Optimization for Portfolios in Emerging Markets: Contrasting Higher Momeathematical programming falls short. Often they were used in portfolios scenario of classical Mean-Variance which are not applicable to the Emerging Markets. Emerging Markets are characterized by return distributions that have shown to exhibit significance departure from normality and are characteri作者: arbovirus 時間: 2025-3-22 17:55
On Combinatorial Optimisation in Analysis of Protein-Protein Interaction and Protein Folding Networkk science. In this paper, we present a study of these networks from combinatorial optimisation point of view. Using a combination of classical heuristics and stochastic optimisation techniques, we were able to identify several interesting combinatorial properties of biological networks of the COSIN 作者: KIN 時間: 2025-3-22 23:59 作者: 歹徒 時間: 2025-3-23 01:44
Automating Biomedical Data Science Through Tree-Based Pipeline Optimizationbusiness, and government. In this paper, we introduce the concept of tree-based pipeline optimization for automating one of the most tedious parts of machine learning—pipeline design. We implement a Tree-based Pipeline Optimization Tool (TPOT) and demonstrate its effectiveness on a series of simulat作者: 紀念 時間: 2025-3-23 06:35 作者: STING 時間: 2025-3-23 13:30 作者: 腫塊 時間: 2025-3-23 14:59
Discovering Potential Clinical Profiles of Multiple Sclerosis from Clinical and Pathological Free Tenstraints. In this work, we provide a novel application of this technique in research on neuro-degenerative diseases. Specifically, we consider a dataset of documents from the Netherlands Brain Bank containing free text describing clinical and pathological information about donors affected by Multip作者: 毛細血管 時間: 2025-3-23 19:12 作者: confederacy 時間: 2025-3-24 02:00 作者: Monolithic 時間: 2025-3-24 05:13 作者: Merited 時間: 2025-3-24 09:47
Joint Topology Optimization, Power Control and Spectrum Allocation for Intra-Vehicular Multi-hop Sen the intra-vehicular radio environment and the stringent robustness imposed on critical sensors within the vehicle. As opposed to point-to-point network topologies, multi-hop networking allows for an enhanced communication reliability at the cost of an additional processing overhead. In this context作者: Acupressure 時間: 2025-3-24 11:43 作者: Axon895 時間: 2025-3-24 15:27 作者: 外向者 時間: 2025-3-24 19:51
https://doi.org/10.1007/978-1-4020-6754-9 instances of the Euclidean Traveling Salesman Problem from the TSP library. The results of the algorithm are compared to results obtained by several versions of the Particle Swarm Optimization algorithm. The comparisons indicated the effectiveness of the new approach.作者: COLIC 時間: 2025-3-25 02:08
Hybrid Biclustering Algorithms for Data Miningxplained. A representative hybrid biclustering algorithm, inspired by neural networks and associative artificial intelligence, is introduced and the results of its application to microarray data are presented. Finally, the scope and application potential for hybrid biclustering algorithms is discussed.作者: 俗艷 時間: 2025-3-25 06:54
A Hybrid Discrete Artificial Bee Colony Algorithm for the Multicast Routing Problem instances of the Euclidean Traveling Salesman Problem from the TSP library. The results of the algorithm are compared to results obtained by several versions of the Particle Swarm Optimization algorithm. The comparisons indicated the effectiveness of the new approach.作者: 火花 時間: 2025-3-25 10:07 作者: corn732 時間: 2025-3-25 13:35
2,5-A (adenine) oligonucleotidesly used for classification. The results suggest that GE is able to successfully induce classification models and analysis of these models can help in our understanding of the factors providing advanced indication of a trial sites’ future performance.作者: 后天習得 時間: 2025-3-25 19:01 作者: 不感興趣 時間: 2025-3-25 22:53
2,5-A (adenine) oligonucleotidestes solutions having larger hypervolumes. The enhanced method achieves a speedup of 15.7 on 16 cores of a dual socket Intel multi-core machine when solving a Reinsurance Contract Optimization problem involving 15 Layers or sub-contracts.作者: 機警 時間: 2025-3-26 03:19
https://doi.org/10.1007/978-1-4020-6754-9rd datasets are used to evaluate the effectiveness of the proposed fitness functions. The results demonstrate that the proposed fitness functions augment GP classifiers, encouraging fitter solutions on both the minority and the majority classes.作者: 萬花筒 時間: 2025-3-26 07:12 作者: DAFT 時間: 2025-3-26 12:33 作者: 失望未來 時間: 2025-3-26 15:35 作者: 令人發(fā)膩 時間: 2025-3-26 17:58
2,5-A (adenine) oligonucleotidescted response) in about 200?s (corresponding to 5000 generations) on a standard computer. This is the proof of concept of our approach. Moreover, results analysis allows the biologist not only to save time during the design process but also to study the specificity of a system.作者: 奇思怪想 時間: 2025-3-27 00:02
https://doi.org/10.1007/978-1-4020-6754-9rol functions for Small Cells in order to vary their power and bias settings. The objective of these control functions is to evolve control functions that maximise a proportional fair utility of UE throughputs.作者: critic 時間: 2025-3-27 02:12 作者: CAGE 時間: 2025-3-27 06:47
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Datard datasets are used to evaluate the effectiveness of the proposed fitness functions. The results demonstrate that the proposed fitness functions augment GP classifiers, encouraging fitter solutions on both the minority and the majority classes.作者: endarterectomy 時間: 2025-3-27 11:44
Portfolio Optimization, a Decision-Support Methodology for Small Budgetsproposed approach is tested on real-world data from Milan stock exchange, exploiting information from January 2000 to June 2010 to train the framework, and data from July 2010 to August 2011 to validate it. The presented tool is finally proven able to obtain a more than satisfying profit for the considered time frame.作者: excursion 時間: 2025-3-27 17:41
On Combinatorial Optimisation in Analysis of Protein-Protein Interaction and Protein Folding Networking cliques and to maximum independent set problem were discovered. Maximal cliques are explored by enumerative techniques. Domination in these networks is briefly studied, too. Applications and extensions of our findings are discussed.作者: lymphedema 時間: 2025-3-27 21:37
Automating Biomedical Data Science Through Tree-Based Pipeline Optimizationts. We also highlight the current challenges to pipeline optimization, such as the tendency to produce pipelines that overfit the data, and suggest future research paths to overcome these challenges. As such, this work represents an early step toward fully automating machine learning pipeline design.作者: 清澈 時間: 2025-3-27 23:12 作者: Cytokines 時間: 2025-3-28 06:04
Evolving Coverage Optimisation Functions for Heterogeneous Networks Using Grammatical Genetic Prograrol functions for Small Cells in order to vary their power and bias settings. The objective of these control functions is to evolve control functions that maximise a proportional fair utility of UE throughputs.作者: 致命 時間: 2025-3-28 07:55 作者: 滴注 時間: 2025-3-28 13:08
Reference work 2008Latest edition multi-objective problem and solved using a multi-objective evolutionary algorithm namely the non-dominated sorting genetic algorithm II. The six models are compared and tested on real financial data of the Egyptian Index EGX. The median models were found in general to outperform the higher moments 作者: Aggregate 時間: 2025-3-28 17:36
https://doi.org/10.1007/978-1-4020-6754-9formance. This paper presents two new methods for biomarker detection through multi-objective feature selection and feature construction. The results show that the proposed multi-objective feature selection method can obtain better subsets of features than the single-objective algorithm and two trad作者: Spina-Bifida 時間: 2025-3-28 22:23
2,5-A (adenine) oligonucleotidesg density, node degree distribution, and correlation between nodes, with density being the major contributor to computational complexity. We also examined sample bicliques and postulate that these bicliques could be useful in elucidating the genetic and biological underpinnings of shared disease eti作者: 歡騰 時間: 2025-3-29 00:14
Reference work 2008Latest editionive matrix factorization (NMF) and, next, clinical data are clustered using CNMF with constraints induced by the clustering of pathological data. Results indicate the presence of interesting clinical profiles, for instance related to vision or movement problems. In particular, the use of CNMF leads 作者: 遭遇 時間: 2025-3-29 04:29
2,5-A (adenine) oligonucleotidesa combination of evolutionary meta-heuristic algorithms and Dandelion codes, the latter capable of representing tree-like structures like those modeling the multi-hop routing approach. Simulations are carried out for realistic values of intra-vehicular radio channels and co-channel interference due 作者: 追逐 時間: 2025-3-29 08:56
Evolutionary Multiobjective Optimization for Portfolios in Emerging Markets: Contrasting Higher Mome multi-objective problem and solved using a multi-objective evolutionary algorithm namely the non-dominated sorting genetic algorithm II. The six models are compared and tested on real financial data of the Egyptian Index EGX. The median models were found in general to outperform the higher moments 作者: LURE 時間: 2025-3-29 12:11 作者: glans-penis 時間: 2025-3-29 16:12 作者: EPT 時間: 2025-3-29 21:37 作者: ADJ 時間: 2025-3-30 03:49
Joint Topology Optimization, Power Control and Spectrum Allocation for Intra-Vehicular Multi-hop Sena combination of evolutionary meta-heuristic algorithms and Dandelion codes, the latter capable of representing tree-like structures like those modeling the multi-hop routing approach. Simulations are carried out for realistic values of intra-vehicular radio channels and co-channel interference due 作者: 鋼筆尖 時間: 2025-3-30 08:07
Conference proceedings 2016rithms in games), EvoIASP (evolutionary computation in imageanalysis, signal processing, and pattern recognition), EvoINDUSTRY(nature-inspired techniques in industrial settings), EvoNUM (bio-inspiredalgorithms for continuous parameter optimization), EvoPAR (parallelimplementation of evolutionary alg作者: 單片眼鏡 時間: 2025-3-30 09:17 作者: Anal-Canal 時間: 2025-3-30 14:17 作者: trigger 時間: 2025-3-30 20:01 作者: watertight, 時間: 2025-3-31 00:21 作者: Adenocarcinoma 時間: 2025-3-31 04:18 作者: chapel 時間: 2025-3-31 08:14
Reference work 2008Latest editionathematical programming falls short. Often they were used in portfolios scenario of classical Mean-Variance which are not applicable to the Emerging Markets. Emerging Markets are characterized by return distributions that have shown to exhibit significance departure from normality and are characteri作者: 情感 時間: 2025-3-31 12:46
Reference work 2008Latest editionk science. In this paper, we present a study of these networks from combinatorial optimisation point of view. Using a combination of classical heuristics and stochastic optimisation techniques, we were able to identify several interesting combinatorial properties of biological networks of the COSIN 作者: interlude 時間: 2025-3-31 13:56 作者: 舊式步槍 時間: 2025-3-31 21:10
https://doi.org/10.1007/978-1-4020-6754-9business, and government. In this paper, we introduce the concept of tree-based pipeline optimization for automating one of the most tedious parts of machine learning—pipeline design. We implement a Tree-based Pipeline Optimization Tool (TPOT) and demonstrate its effectiveness on a series of simulat作者: 其他 時間: 2025-3-31 21:55
2,5-A (adenine) oligonucleotides-layered graphs, identifying subgraphs of potential biological meaning relies on identifying bicliques between two sets of associated nodes, or variables – for example, diseases and genetic variants. Researchers have developed multiple approaches for forming bicliques and it is important to understa作者: 我吃花盤旋 時間: 2025-4-1 02:58
https://doi.org/10.1007/978-1-4020-6754-9 their construction enriches the existing methods providing them with new properties. In this paper the concept of hybrid biclustering algorithms is explained. A representative hybrid biclustering algorithm, inspired by neural networks and associative artificial intelligence, is introduced and the r
