標題: Titlebook: Advances in Swarm Intelligence; 15th International C Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The A [打印本頁] 作者: Enlightening 時間: 2025-3-21 18:22
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讀者反饋學科排名
作者: obnoxious 時間: 2025-3-21 20:23 作者: Rodent 時間: 2025-3-22 01:36
Schwimmkasten- und Druckluftgründungenlem and meet specific purposes. The current status of swarm intelligence on planning and scheduling tasks is discussed and the challenges of swarm intelligence and automated planning algorithms design are analyzed in this paper. Interpretability is the foundation of understanding problems’ propertie作者: instill 時間: 2025-3-22 06:28
Grundlagen des Maschinenfundamententwurfs CPP methods assume reliable global communication but there is only local communication in many real-world scenarios. The related studies on robot collaboration under local communication face issues of excessive meeting cost or lack of collaboration when applied to CPP tasks. This paper proposes a G作者: Agnosia 時間: 2025-3-22 10:14
https://doi.org/10.1007/978-3-7091-8137-9o solve the above problem. Firstly, the problem is formulated as a multi-constrained optimization problem, incorporating constraints on drone performance and environmental conditions. Secondly, a hyper-heuristic algorithm based on Q-learning (HHBQL) is introduced, which utilizes Q-learning (QL) as a作者: nocturnal 時間: 2025-3-22 14:40 作者: 解凍 時間: 2025-3-22 17:54 作者: 多山 時間: 2025-3-23 01:02
Gründungsausbildung in Netzwerkenver pollution control. In this study, we focus on a typical river watershed in Nanjing, China. We collect and process historical monitoring data from multiple automated water quality stations within the basin. To predict water quality, we employ three time series models: Support Vector Machine (SVM)作者: 陶瓷 時間: 2025-3-23 04:59
Zum Gegenstand der Untersuchung, fact and imposes constraints on model design, training performance and accuracy. This paper introduces a fine-grained federated learning (FGFL) method to tackle resource heterogeneity. FGFL utilizes a configurable architecture search space in order to offer abundant architectures for various device作者: 發(fā)酵 時間: 2025-3-23 05:54 作者: debunk 時間: 2025-3-23 11:29 作者: 洞穴 時間: 2025-3-23 14:19 作者: Console 時間: 2025-3-23 18:56 作者: 退出可食用 時間: 2025-3-23 23:14
Zum Gegenstand der Untersuchung, is called adversarial attacks. Transfer attacks, as one of black-box attacks, it usually generates adversarial examples on white-box models and transfers the generated adversarial examples to black-box models. However, existing transfer-based adversarial attacks usually have high attack success rat作者: debris 時間: 2025-3-24 02:43 作者: CHOIR 時間: 2025-3-24 09:11
Implikationen und Forschungsausblick,on object detection based on SNNs. However, most researches only aim to detect objects in natural images. Few researches concentrate on medical applications. Lung nodule detection is one of meaningful tasks in medical image analysis, which plays an important role in the diagnosis of lung cancer. You作者: 值得贊賞 時間: 2025-3-24 11:11
https://doi.org/10.1007/978-981-97-7184-4swarm intelligence; swarm intelligence optimization algorithm; ACO; PSO; ABC; GA; FWA; hybrid optimization 作者: 過于光澤 時間: 2025-3-24 18:22
978-981-97-7183-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: Flat-Feet 時間: 2025-3-24 23:02
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/167320.jpg作者: 媒介 時間: 2025-3-25 00:15
Advances in Swarm Intelligence978-981-97-7184-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 生存環(huán)境 時間: 2025-3-25 03:55 作者: 同位素 時間: 2025-3-25 10:28
Schwimmkasten- und Druckluftgründungengh extensive experimentation across different scenarios, the algorithm performance is comprehensively evaluated and analyzed. Experimental results demonstrate that the improved genetic algorithm exhibits superior path optimization capabilities under time window constraints, thereby significantly enhancing delivery efficiency.作者: 消散 時間: 2025-3-25 13:27
https://doi.org/10.1007/978-3-8350-9034-7rio, named FedKA. In the server, it trains the global model by a generator training stage and a knowledge amalgamation stage. In the client, it adds the synthetic data of global generator from the server to realize local model adaptation. Experiments on a variety of real-world datasets demonstrate the superiority of our method.作者: enmesh 時間: 2025-3-25 18:28 作者: Cardiac 時間: 2025-3-25 23:59
Gründungsausbildung in Netzwerkengrowth of Internet hospital business. This article will analyze the factors that affect the operation effect of Internet hospitals and propose corresponding countermeasures through the research on the operation of S Internet Hospital, so as to put forward positive and constructive suggestions for the medical management of homogeneous institutions.作者: jabber 時間: 2025-3-26 02:02 作者: 鋼筆記下懲罰 時間: 2025-3-26 07:14
,Standortfaktor ?ffentliche Verwaltung,model with . and multiple linear regression weights was established to predict the volume of illegal wildlife trade in the next five to ten years with or without intervention, the weighted prediction model underwent optimization using the particle swarm algorithm, resulting in enhanced convergence speed and accuracy of the model’s solution.作者: Repetitions 時間: 2025-3-26 12:11 作者: 一個攪動不安 時間: 2025-3-26 16:34
An Improved Genetic Algorithm for Vehicle Routing Problem with Time Window Requirementsgh extensive experimentation across different scenarios, the algorithm performance is comprehensively evaluated and analyzed. Experimental results demonstrate that the improved genetic algorithm exhibits superior path optimization capabilities under time window constraints, thereby significantly enhancing delivery efficiency.作者: 延期 時間: 2025-3-26 19:16
Robust Heterogeneous Federated Learning via Data-Free Knowledge Amalgamationrio, named FedKA. In the server, it trains the global model by a generator training stage and a knowledge amalgamation stage. In the client, it adds the synthetic data of global generator from the server to realize local model adaptation. Experiments on a variety of real-world datasets demonstrate the superiority of our method.作者: Saline 時間: 2025-3-26 22:41
FGFL: Fine-Grained Federated Learning Based on?Neural Architecture Search for?Heterogeneous Clients be readily deployable. Additionally, it conducts a fine-grained multi-objective evolutionary search to automatically identify the optimal architectures for heterogeneous devices. Experimental results demonstrate that FGFL achieves the superior performance while reducing computational costs.作者: 意見一致 時間: 2025-3-27 03:47 作者: indices 時間: 2025-3-27 08:13
Complex Network-Based Decision-Making Analysis of Strikes on Important Nodes of a Typical Kill Chainrehensively analyze the assessment results, rank the importance of the kill chain nodes, and the suggestions are put forward to strengthen the construction of the kill chain. The purpose of this paper is to work out the weaknesses of the kill chain and provide ideas for possible future actions to attack the kill chain.作者: URN 時間: 2025-3-27 09:26 作者: 農(nóng)學 時間: 2025-3-27 14:53
0302-9743 ..Part II - Route planning problem; Machine learning; Detection and prediction; Classification; Edge computing; Modeling and optimization & Analysis of review..978-981-97-7183-7978-981-97-7184-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 與野獸博斗者 時間: 2025-3-27 21:15
Grundlagen des Maschinenfundamententwurfsthod. Such that the robots in each group cover the same subarea collaboratively by maintaining continuous communication. Experimental results show its superior performance over the state-of-the-art methods in environments with local communication.作者: 感激小女 時間: 2025-3-27 22:37
https://doi.org/10.1007/978-3-7091-8137-9, the generated paths are smoothed using cubic B-spline curves. Finally, simulation experiments are conducted in two environments comparing the proposed algorithm with three other algorithms. Results indicate that the proposed algorithm outperforms the other three algorithms in terms of optimization performance.作者: Misnomer 時間: 2025-3-28 04:05
Gründungsausbildung in Netzwerkensed method is examined and compared with other two efficient methods on both synthetic and real-world data. The experimental results show that our method not only effectively addresses the mentioned challenges but also generates noteworthy results.作者: Lumbar-Spine 時間: 2025-3-28 09:38 作者: 服從 時間: 2025-3-28 10:36
Gründungsausbildung in Netzwerkenrchitecture search to reduce communication and evaluation burdens. Experimental results on retinal blood vessel segmentation tasks show that FS-ENAS efficiently searches for suitable architectures with reduced communication and evaluation costs while protecting privacy.作者: FECK 時間: 2025-3-28 15:51 作者: 恩惠 時間: 2025-3-28 20:23
Grouping and?Angle Partitioning-Based Coverage Path Planning for?Swarm Robots Using Only Local Commuthod. Such that the robots in each group cover the same subarea collaboratively by maintaining continuous communication. Experimental results show its superior performance over the state-of-the-art methods in environments with local communication.作者: fatty-acids 時間: 2025-3-29 00:11
A Hyper-heuristic Algorithm Based on Q-Learning for 3D Drone Trajectory Planning, the generated paths are smoothed using cubic B-spline curves. Finally, simulation experiments are conducted in two environments comparing the proposed algorithm with three other algorithms. Results indicate that the proposed algorithm outperforms the other three algorithms in terms of optimization performance.作者: 披肩 時間: 2025-3-29 03:48
Efficient Multilevel Spatial Co-location Pattern Discovery Based on?Density-Wise Clustering and?MC-Hsed method is examined and compared with other two efficient methods on both synthetic and real-world data. The experimental results show that our method not only effectively addresses the mentioned challenges but also generates noteworthy results.作者: disrupt 時間: 2025-3-29 07:54
Multiple Machine Learning Methods with?Correlation Analysis for?Short-Term River Water Quality Predicounterparts, while showing weaker associations with other water indicators. Among the three machine learning models, LSTM demonstrates superior predictive performance for total phosphorus, while RF excels in predicting ammonia nitrogen.作者: 使出神 時間: 2025-3-29 14:50
Federated Neural Architecture Search with?Hierarchical Progressive Acceleration for?Medical Image Serchitecture search to reduce communication and evaluation burdens. Experimental results on retinal blood vessel segmentation tasks show that FS-ENAS efficiently searches for suitable architectures with reduced communication and evaluation costs while protecting privacy.作者: 大炮 時間: 2025-3-29 19:36 作者: Dawdle 時間: 2025-3-29 22:00 作者: ABYSS 時間: 2025-3-30 02:01
Conference proceedings 2024rm Intelligence, ICSI 2024, held in Xining, China, during August 23–26, 2024...The 74 revised full papers presented in these proceedings were carefully reviewed and selected from 156 submissions. The papers are organized in the following topical sections:..Part I - Particle swarm optimization; Swarm作者: Feature 時間: 2025-3-30 04:13
Automated Planning and?Scheduling with?Swarm Intelligences and algorithms’ search behaviors. The interpretability of algorithms is discussed from interpretable processes and interpretable results. Based on the interpretability analysis, swarm intelligence’s evolution and learning ability could design the automated algorithm.作者: Hay-Fever 時間: 2025-3-30 10:22
Conference proceedings 2024 intelligence computing; Differential evolution; Evolutionary algorithms; Multi-agent reinforcement learning & Multi-objective optimization...Part II - Route planning problem; Machine learning; Detection and prediction; Classification; Edge computing; Modeling and optimization & Analysis of review..作者: Picks-Disease 時間: 2025-3-30 15:14 作者: 大包裹 時間: 2025-3-30 19:07
Solving the?Traveling Salesman Problem for?Efficient Route Planning Through Swarm Intelligence Basedient solutions. In this paper, we propose an improved method utilizing a Swarm Intelligence-based approach. Besides the traditional MIX and MOVE operations, our major contribution lies in the introduction of a new MIX operation specifically tailored for the TSP. This new operation offers an advantag作者: osteopath 時間: 2025-3-31 00:30
An Improved Genetic Algorithm for Vehicle Routing Problem with Time Window Requirements window constraints in vehicle routing problems. Delivery problems often face challenges such as variations in delivery times due to real-world disturbances and the adverse effects of early or late deliveries. To effectively mitigate these challenges, we propose a tolerance mechanism to aid the gene作者: Infiltrate 時間: 2025-3-31 02:06 作者: 商品 時間: 2025-3-31 05:45 作者: antipsychotic 時間: 2025-3-31 12:16 作者: 使絕緣 時間: 2025-3-31 17:10 作者: exostosis 時間: 2025-3-31 19:11
Efficient Multilevel Spatial Co-location Pattern Discovery Based on?Density-Wise Clustering and?MC-Hy SCP mining still faces many challenges, e.g., dealing with heterogeneous distribution data, the expensive computational cost required for mining multilevel SCPs. To address the two mentioned challenges, a new method applied density-wise clustering is proposed to discover multilevel SCPs in heterog
