標(biāo)題: Titlebook: Advances in Swarm Intelligence; 5th International Co Ying Tan,Yuhui Shi,Carlos A. Coello Coello Conference proceedings 2014 Springer Intern [打印本頁] 作者: 召喚 時(shí)間: 2025-3-21 19:20
書目名稱Advances in Swarm Intelligence影響因子(影響力)
書目名稱Advances in Swarm Intelligence影響因子(影響力)學(xué)科排名
書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度
書目名稱Advances in Swarm Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Swarm Intelligence被引頻次
書目名稱Advances in Swarm Intelligence被引頻次學(xué)科排名
書目名稱Advances in Swarm Intelligence年度引用
書目名稱Advances in Swarm Intelligence年度引用學(xué)科排名
書目名稱Advances in Swarm Intelligence讀者反饋
書目名稱Advances in Swarm Intelligence讀者反饋學(xué)科排名
作者: installment 時(shí)間: 2025-3-21 23:33 作者: panorama 時(shí)間: 2025-3-22 01:54 作者: POWER 時(shí)間: 2025-3-22 05:29 作者: Aggregate 時(shí)間: 2025-3-22 11:46
Claudia Birkemeyer,Joachim Kopkaonly one though a series of mathematical manipulation. Then apply genetic algorithm (GA) to obtain the optimal weight value of the nonconvex problems. Simulation results show that our proposed approaches significantly outperform the previous methods conducted.作者: violate 時(shí)間: 2025-3-22 15:19
0302-9743 ence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence res作者: 施加 時(shí)間: 2025-3-22 19:29
Theory and Practice of Complex Regge Poles,e majority classes. The experimental results presented in this paper indicate that the studied metrics might be not appropriate in situations where multiple minority and multiple majority classes exist.作者: 轉(zhuǎn)向 時(shí)間: 2025-3-22 22:53 作者: Soliloquy 時(shí)間: 2025-3-23 04:17 作者: 鍵琴 時(shí)間: 2025-3-23 05:45
Empirical Analysis of Assessments Metrics for Multi-class Imbalance Learning on the Back-Propagatione majority classes. The experimental results presented in this paper indicate that the studied metrics might be not appropriate in situations where multiple minority and multiple majority classes exist.作者: trigger 時(shí)間: 2025-3-23 10:50
Development on Harmony Search Hyper-heuristic Framework for Examination Timetabling Problem a combination of improvement heuristics which consist of neighborhood structure strategies. The proposed approach is tested using the examination timetabling tracks in Second International Timetabling Competition (ITC-2007) benchmarks. Experimentally, the HSHH approach can achieve comparable results with the comparative methods in the literature.作者: Mhc-Molecule 時(shí)間: 2025-3-23 16:11 作者: 熄滅 時(shí)間: 2025-3-23 19:35
Parallel Bees Swarm Optimization for Association Rules Mining Using GPU Architecturelutions is parallelized. Experimental results reveal that the suggested method outperforms the sequential version at the order of ×70 in most data sets, furthermore, the WebDocs benchmark is handled with less than forty hours.作者: 青少年 時(shí)間: 2025-3-24 01:15
A Particle Swarm Optimization Based Pareto Optimal Task Scheduling in Cloud Computingnew variant of continuous Particle Swarm Optimization (PSO) algorithm, named Integer-PSO, is proposed to solve the bi-objective task scheduling problem in cloud which out performs the smallest position value (SPV) rule based PSO technique.作者: Resistance 時(shí)間: 2025-3-24 05:32
Predator-Prey Pigeon-Inspired Optimization for UAV Three-Dimensional Path Planningove global best properties and enhance the convergence speed. The comparative simulation results show that our proposed PPPIO algorithm is more efficient than the basic PIO and particle swarm optimization (PSO) in solving UAV three-dimensional path planning problems.作者: 觀察 時(shí)間: 2025-3-24 10:23 作者: defile 時(shí)間: 2025-3-24 10:50 作者: 現(xiàn)實(shí) 時(shí)間: 2025-3-24 15:24
Semi-supervised Ant Evolutionary Classificationon is carried out to maintain the history colony information as well as the scale of swarms. Theoretical analysis and experimental results show the effectiveness of our proposed model for evolutionary data classification.作者: 津貼 時(shí)間: 2025-3-24 21:36
A Novel Rough Set Reduct Algorithm to Feature Selection Based on Artificial Fish Swarm Algorithm genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO) and chaotic binary particle swarm optimization (CBPSO). Experiments demonstrate that the proposed algorithm could achieve the minimal reduct more efficiently than the other methods.作者: Terrace 時(shí)間: 2025-3-25 03:03 作者: OMIT 時(shí)間: 2025-3-25 03:43 作者: 樂章 時(shí)間: 2025-3-25 09:20
Capacity and Power Optimization for Collaborative Beamforming with Two Relay Clustersonly one though a series of mathematical manipulation. Then apply genetic algorithm (GA) to obtain the optimal weight value of the nonconvex problems. Simulation results show that our proposed approaches significantly outperform the previous methods conducted.作者: 全能 時(shí)間: 2025-3-25 14:59
Renin, sodium and hypertension,lutions is parallelized. Experimental results reveal that the suggested method outperforms the sequential version at the order of ×70 in most data sets, furthermore, the WebDocs benchmark is handled with less than forty hours.作者: 無所不知 時(shí)間: 2025-3-25 18:28 作者: Living-Will 時(shí)間: 2025-3-25 20:01 作者: 織布機(jī) 時(shí)間: 2025-3-26 01:55 作者: interrupt 時(shí)間: 2025-3-26 05:36
Symmetries and Effective Vertices,ance and solution quality. The results may verify the effectiveness and promising application of the proposed method in solving the ED problem when we are considering both controllable and uncontrollable DG in power system.作者: Encoding 時(shí)間: 2025-3-26 10:36
G. S. Singhal,G. Renger,Govindjeeions results are compared with the results obtained using standard PBIL and another diversity increasing PBIL called herein as PBIL with Adapting learning rate (APBIL). It is shown that Parallel PBIL approach performs better than the standard PBIL and is as effective as APBIL.作者: constitute 時(shí)間: 2025-3-26 15:10
G. S. Singhal,G. Renger,Govindjee time detect the anomaly of hydropower unit vibration parameters. The results show that this model can effectively evaluate the performance of unit vibration, can more accurately detect the abnormal of unit vibration.作者: Ige326 時(shí)間: 2025-3-26 19:41
Comparison of Multi-population PBIL and Adaptive Learning Rate PBIL in Designing Power System Controions results are compared with the results obtained using standard PBIL and another diversity increasing PBIL called herein as PBIL with Adapting learning rate (APBIL). It is shown that Parallel PBIL approach performs better than the standard PBIL and is as effective as APBIL.作者: 形上升才刺激 時(shí)間: 2025-3-27 00:33
Vibration Adaptive Anomaly Detection of Hydropower Unit in Variable Condition Based on Moving Least time detect the anomaly of hydropower unit vibration parameters. The results show that this model can effectively evaluate the performance of unit vibration, can more accurately detect the abnormal of unit vibration.作者: Postulate 時(shí)間: 2025-3-27 02:04
Conference proceedings 2014 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and 作者: 不法行為 時(shí)間: 2025-3-27 09:20
Semi-supervised Ant Evolutionary Classification. In our model, each ant colony sends its members to propagate its unique pheromone on the unlabeled instances. The unlabeled instances are treated as unlabeled ants. They are assigned to different ant colonies according to the pheromone that different colonies leave on it. Next, the natural selecti作者: 微枝末節(jié) 時(shí)間: 2025-3-27 12:51 作者: glacial 時(shí)間: 2025-3-27 14:30 作者: 者變 時(shí)間: 2025-3-27 19:19 作者: Tempor 時(shí)間: 2025-3-27 23:19 作者: Thyroid-Gland 時(shí)間: 2025-3-28 04:31
A New Evolutionary Support Vector Machine with Application to Parkinson’s Disease Diagnosissuccessfully to Parkinson’s disease (PD) diagnosis. In the proposed BFO-SVM, the issue of parameter optimization in SVM is tackled using the BFO technique. The effectiveness of BFO-SVM has been rigorously evaluated against the PD Dataset. The experimental results demonstrate that the proposed approa作者: Crumple 時(shí)間: 2025-3-28 09:40
Parallel Bees Swarm Optimization for Association Rules Mining Using GPU Architecturebeen successfully running on small and medium data size. Nevertheless, when dealing with large benchmark, it is bluntly blocked. Additionally, graphic processor units are massively threaded providing highly intensive computing and very usable by the optimization research community. The parallelizati作者: TAG 時(shí)間: 2025-3-28 12:40 作者: Cpr951 時(shí)間: 2025-3-28 18:09
cuROB: A GPU-Based Test Suit for Real-Parameter Optimization cuROB, is introduced. Test functions of diverse properties are included within cuROB and implemented efficiently with CUDA. Speedup of one order of magnitude can be achieved in comparison with CPU-based benchmark of CEC’14.作者: 鳥籠 時(shí)間: 2025-3-28 19:37 作者: 抑制 時(shí)間: 2025-3-28 22:57 作者: 在前面 時(shí)間: 2025-3-29 03:53
Predator-Prey Pigeon-Inspired Optimization for UAV Three-Dimensional Path Planningd compass operator model is presented based on magnetic field and sun, while landmark operator model is designed based on landmarks. In this paper, a novel Predator-prey pigeon-inspired optimization (PPPIO) is proposed to solve the three-dimensional path planning problem of unmanned aerial vehicles 作者: tendinitis 時(shí)間: 2025-3-29 09:15 作者: obsolete 時(shí)間: 2025-3-29 14:12
An Improved Particle Swarm Optimization-Based Coverage Control Method for Wireless Sensor Networkained in deployment which accomplish self-organization through moving and changing topological structure. This paper proposes an improved discrete particle swarm optimization algorithm aimed at coverage control method of WSN, and the optimization is implemented under two processes: deployment planni作者: 令人悲傷 時(shí)間: 2025-3-29 19:02
An Improved Energy-Aware Cluster Heads Selection Method for Wireless Sensor Networks Based on K-meanes a critical issue in sensor networks. Clustering is one of the most effective means to extend the lifetime of the whole network. In this paper, an energy-aware cluster heads selection method, based on binary particle swarm optimization (BPSO) and K-means, is presented to prolong the network lifeti作者: glucagon 時(shí)間: 2025-3-29 20:49
Comparison of Multi-population PBIL and Adaptive Learning Rate PBIL in Designing Power System Controt has recently received increasing attention due to its effectiveness, easy implementation and robustness. Despite these strengths, it has been reported recently that PBIL suffers from issues of loss of diversity in the population. To deal with the issue of premature convergence, we propose in this 作者: IOTA 時(shí)間: 2025-3-29 23:54
Vibration Adaptive Anomaly Detection of Hydropower Unit in Variable Condition Based on Moving Least nditions, continual working status switch, less fault samples, single static alarm threshold. Lots of test research shows that active power and working head are key factors which affect the operation conditions of hydropower unit. The health standard condition of unit is determined. An adaptive real作者: Figate 時(shí)間: 2025-3-30 07:18 作者: Dna262 時(shí)間: 2025-3-30 10:59 作者: mechanism 時(shí)間: 2025-3-30 14:11
Conference proceedings 2014 path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application.作者: 詩集 時(shí)間: 2025-3-30 17:10 作者: myocardium 時(shí)間: 2025-3-30 23:17 作者: 蟄伏 時(shí)間: 2025-3-31 03:56
Theory and Practice of Complex Regge Poles,ape descriptors performance, the hand gestures 1-10 are recognized with the template matching method and the shape descriptor method, respectively. The experiment results show that the method can well describe the hand shape information and are?higher?recognition rate.作者: 倒轉(zhuǎn) 時(shí)間: 2025-3-31 07:25 作者: 捕鯨魚叉 時(shí)間: 2025-3-31 10:55 作者: 國家明智 時(shí)間: 2025-3-31 17:01 作者: FECT 時(shí)間: 2025-3-31 19:53
An Improved Energy-Aware Cluster Heads Selection Method for Wireless Sensor Networks Based on K-meanm. The performance of our technique is compared with the well-known cluster-based sensor network protocols, LEACH-C and PSO-C respectively. The simulation results demonstrate that our proposed work can achieve better network lifetime over its comparatives.作者: CREEK 時(shí)間: 2025-4-1 00:10
https://doi.org/10.1007/978-3-642-85976-2. In our model, each ant colony sends its members to propagate its unique pheromone on the unlabeled instances. The unlabeled instances are treated as unlabeled ants. They are assigned to different ant colonies according to the pheromone that different colonies leave on it. Next, the natural selecti作者: cliche 時(shí)間: 2025-4-1 02:02
https://doi.org/10.1007/978-3-7091-8284-0s are generally involved. Too many tests could complicate the main diagnosis process so that even the medical experts might have difficulty in obtaining the end results from those tests. A well-designed computerized diagnosis system could be used to directly attain the ultimate diagnosis with the ai作者: irritation 時(shí)間: 2025-4-1 09:46 作者: 減弱不好 時(shí)間: 2025-4-1 11:50 作者: faction 時(shí)間: 2025-4-1 14:42
