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標(biāo)題: Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Xiankun Zhang,Wei Chen Conference proceedi [打印本頁]

作者: 嚴(yán)峻    時(shí)間: 2025-3-21 18:06
書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)




書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開度




書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications被引頻次




書目名稱Advanced Intelligent Computing Technology and Applications被引頻次學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications年度引用




書目名稱Advanced Intelligent Computing Technology and Applications年度引用學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋




書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋學(xué)科排名





作者: Blasphemy    時(shí)間: 2025-3-21 20:34
Guided Particle Adaptation PSO for Feature Selection on High-dimensional Classifications, including feature selection. However, in high-dimensional data scenarios, most existing PSO-based feature selection methods typically employ a single filter-based approach for initializing particle populations, limiting the search range. We propose a guided particle adaptation method that integra
作者: 輕彈    時(shí)間: 2025-3-22 03:20
Concept-Level Interpretable SOM for Visual Analysis of High-Dimensional Non-dominated Solution Setsion needs to be based on the understanding and analysis of the non-dominated solution set. Visual analysis methods can provide the most intuitive explanations, but existing visualization methods rarely deal with high-dimensional complex real-world problems and rarely consider providing conceptual-l
作者: 進(jìn)步    時(shí)間: 2025-3-22 06:51

作者: Gerontology    時(shí)間: 2025-3-22 10:39
Two Stages Multi-operator Hybrid Constraint Handling Strategy for CMTOPss to make the objective function optimal in the feasible region. In this paper, we propose a two stages multi-operator hybrid constraint handling mechanism (TSMOH) to solve the constrained multitask optimization problems. The primary contributions of the proposed algorithm are as follows: (1) Based
作者: 小爭吵    時(shí)間: 2025-3-22 15:52

作者: PRE    時(shí)間: 2025-3-22 19:40
Multi-objective Evolutionary Algorithm Based on Competitive Swarm Optimizer and Constraint Handling alance among these factors can prevent Constrained Multi-Objective Evolutionary Algorithms (CMOEA) from converging to the Constrained Pareto Front (CPF). When dealing with problems involving complex constraints and large objective spaces, most algorithms encounter difficulties. This paper proposes a
作者: 向外供接觸    時(shí)間: 2025-3-23 00:12
A Multi-objective Evolutionary Algorithm Based on Two-Stage Search and Constraint-Dominance Indicatotion of various constrained multi-objective evolutionary algorithms. However, most methods struggle to achieve both desirable convergence and diversity when dealing with CMOPs with complex infeasible regions. This paper proposes a constrained multi-objective evolutionary algorithm based on Two-Stage
作者: avarice    時(shí)間: 2025-3-23 03:52

作者: 無目標(biāo)    時(shí)間: 2025-3-23 06:00

作者: faucet    時(shí)間: 2025-3-23 11:39

作者: reception    時(shí)間: 2025-3-23 14:15

作者: 窩轉(zhuǎn)脊椎動物    時(shí)間: 2025-3-23 19:39

作者: Cocker    時(shí)間: 2025-3-23 22:17
Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Geneticynamic workflow scheduling, dependency constraints between tasks and high quality of service requirements, such as real-time requirements and deadline constraints, make it very challenging. This paper focuses on the energy-efficient scheduling problem, which jointly considers the impact of finer-gra
作者: 現(xiàn)代    時(shí)間: 2025-3-24 03:15

作者: CON    時(shí)間: 2025-3-24 07:06
A Double Deep Q Network Guided Online Learning Differential Evolution Algorithmems. First, a neural network model maintained by a double deep Q network algorithm is introduced to select the proper parameter adaptation method and control the mutation and crossover of the population. The history information generated by the search process is collected as the training data of the
作者: AROMA    時(shí)間: 2025-3-24 14:17
Attention Dual Adversarial Remote Sensing Image Semantic Segmentationdversarial network cannot be effectively used to assist segmentation network training, which limits the further improvement of semantic segmentation accuracy. To this end, this paper first introduces a dual confrontation network, and plays a three-way game with the generator to make the network conv
作者: 能量守恒    時(shí)間: 2025-3-24 17:27

作者: allergy    時(shí)間: 2025-3-24 22:52

作者: confederacy    時(shí)間: 2025-3-25 02:48
Grundlagen der Gründungsfinanzierungegy enhances the information exchange between fireworks and improves the convergence performance of the algorithm. Tests were conducted on the CEC2017 benchmark suite, and the experimental results show that DHFWA significantly outperforms previous fireworks algorithms.
作者: 眼界    時(shí)間: 2025-3-25 06:04
,Einführung in die Gründungsfinanzierung, effectively reduce the energy consumption of the solution. The performance of SLHH is tested against three state-of-the-art algorithms in 20 benchmark instances. The experiment results demonstrate the effectiveness of SLHH in addressing the multifaceted challenges of EDFJSP.
作者: 飲料    時(shí)間: 2025-3-25 08:04
https://doi.org/10.1007/978-3-662-07583-8ing information from dominant individuals to improve the distribution of the population. Thirty instances of different scales are utilized to evaluate the effectiveness of the RLEDA. The experimental results show that the RLEDA outperforms the comparison algorithms in solving energy-efficient DHFJSP.
作者: 高腳酒杯    時(shí)間: 2025-3-25 14:49
Dynamic Search Hybrid Fireworks Algorithmegy enhances the information exchange between fireworks and improves the convergence performance of the algorithm. Tests were conducted on the CEC2017 benchmark suite, and the experimental results show that DHFWA significantly outperforms previous fireworks algorithms.
作者: Rotator-Cuff    時(shí)間: 2025-3-25 18:19
A Self-learning Hyper-Heuristic Algorithm for Energy-Efficient Distributed Flexible Job Shop Schedul effectively reduce the energy consumption of the solution. The performance of SLHH is tested against three state-of-the-art algorithms in 20 benchmark instances. The experiment results demonstrate the effectiveness of SLHH in addressing the multifaceted challenges of EDFJSP.
作者: peptic-ulcer    時(shí)間: 2025-3-25 20:36
Reinforcement Learning-Based Estimation of Distribution Algorithm for Energy-Efficient Distributed Hing information from dominant individuals to improve the distribution of the population. Thirty instances of different scales are utilized to evaluate the effectiveness of the RLEDA. The experimental results show that the RLEDA outperforms the comparison algorithms in solving energy-efficient DHFJSP.
作者: engender    時(shí)間: 2025-3-26 00:38

作者: DRILL    時(shí)間: 2025-3-26 06:49
Die Rossby-Zahl-?hnlichkeitstheorie introduce a new fitness factor promoting knowledge transfer under particle guidance, preventing premature convergence to global optima. Results demonstrate that this method efficiently obtains high-precision feature subsets.
作者: 安慰    時(shí)間: 2025-3-26 09:52

作者: incite    時(shí)間: 2025-3-26 13:24
Guided Particle Adaptation PSO for Feature Selection on High-dimensional Classification introduce a new fitness factor promoting knowledge transfer under particle guidance, preventing premature convergence to global optima. Results demonstrate that this method efficiently obtains high-precision feature subsets.
作者: 橢圓    時(shí)間: 2025-3-26 20:13
A Double Deep Q Network Guided Online Learning Differential Evolution Algorithmomplexity and boost learning efficiency. Finally, an adaptive optimization operator is designed to select a suitable mutation strategy for the different search processes. The experimental results reveal that the proposed algorithm is superior to comparison algorithms on CEC 2017 real-parameter numerical optimization.
作者: Ankylo-    時(shí)間: 2025-3-26 23:26
0302-9743 4882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024...The total of 863 regular papers were carefully reviewed and selected from 2189 submissions...This year, the conference concentrated mainly on th
作者: hemophilia    時(shí)間: 2025-3-27 04:58

作者: 吼叫    時(shí)間: 2025-3-27 05:45

作者: GEAR    時(shí)間: 2025-3-27 11:33

作者: installment    時(shí)間: 2025-3-27 16:15

作者: 指令    時(shí)間: 2025-3-27 21:44

作者: 不合    時(shí)間: 2025-3-27 23:50
An Efficient Growth Optimizer with Adaptive Parameters and Targeted Stochastic Mutation Strategies fdaptability. To verify the effectiveness of the proposed method, the comprehensive experiments were con-ducted on 30 benchmark functions of CEC2017 and compared against nearly 50 popular efficient metaheuristic algorithms, and the statistical results confirm the high performance of the ASGO algorith
作者: hematuria    時(shí)間: 2025-3-28 03:54

作者: Silent-Ischemia    時(shí)間: 2025-3-28 09:40
Multi-task Scheduling of Multiple Agricultural Machinery via Reinforcement Learning and Genetic Algo proposed SLA significantly outperforms baselines in solving multi-task scheduling of multiple agricultural machinery. This finding can provide a reasonable scheduling scheme for the production of large-scale unmanned farms.
作者: 混合物    時(shí)間: 2025-3-28 12:31
Multi-objective Evolutionary Algorithm Based on Competitive Swarm Optimizer and Constraint Handling volution. Additionally, continual updating of the dual-archive further enhances solution convergence and diversity. Out of 23 test suites, Proposed algorithm obtained 13 of the best HV and IGD values, far more than any other algorithm. Simulation results on the LIRCMOP and DASCMOP test suites demons
作者: 離開就切除    時(shí)間: 2025-3-28 16:17

作者: 信任    時(shí)間: 2025-3-28 19:56

作者: 放大    時(shí)間: 2025-3-29 01:43
Three-Role-Community Evolutionary Algorithm for Constrained Multi-objective Optimization Problemsng the allocation of individuals to these roles, TRC effectively navigates the evolving problem landscape. Moreover, a flexible and straightforward quota allocation strategy for offspring size is designed in TRC. Rigorously tested on MW and DASCMOP test suites, TRC’s performance is either better tha
作者: 間接    時(shí)間: 2025-3-29 06:43
Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Geneticc Programming evolution can then be used to make real-time decisions in dynamic environments. The simulation results show that the proposed method has managed to obtain better scheduling heuristics than the baseline methods in terms of energy consumption and resource utilization.
作者: Enzyme    時(shí)間: 2025-3-29 08:20
Attention Dual Adversarial Remote Sensing Image Semantic Segmentationntation. The experimental results on the public remote sensing data set show that the MIOU of this method on US2D dataset reached 69.65%, which are higher than the existing fully-supervised and semi-supervised methods. The effectiveness of the method proposed in this paper is verified.
作者: hurricane    時(shí)間: 2025-3-29 14:48

作者: 冷峻    時(shí)間: 2025-3-29 15:53
0302-9743 applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology..978-981-97-5577-6978-981-97-5578-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 簡潔    時(shí)間: 2025-3-29 23:42

作者: arsenal    時(shí)間: 2025-3-30 01:47

作者: 察覺    時(shí)間: 2025-3-30 06:48

作者: 袖章    時(shí)間: 2025-3-30 12:02

作者: chisel    時(shí)間: 2025-3-30 12:53
Die Rossby-Zahl-?hnlichkeitstheorie proposed SLA significantly outperforms baselines in solving multi-task scheduling of multiple agricultural machinery. This finding can provide a reasonable scheduling scheme for the production of large-scale unmanned farms.
作者: 無聊點(diǎn)好    時(shí)間: 2025-3-30 19:29
Grundlagen der Grenzschicht-Meteorologievolution. Additionally, continual updating of the dual-archive further enhances solution convergence and diversity. Out of 23 test suites, Proposed algorithm obtained 13 of the best HV and IGD values, far more than any other algorithm. Simulation results on the LIRCMOP and DASCMOP test suites demons
作者: Ptsd429    時(shí)間: 2025-3-30 21:23

作者: 傾聽    時(shí)間: 2025-3-31 01:36

作者: BILL    時(shí)間: 2025-3-31 05:03
,Ein überblick über die Genitalerkrankungen,ng the allocation of individuals to these roles, TRC effectively navigates the evolving problem landscape. Moreover, a flexible and straightforward quota allocation strategy for offspring size is designed in TRC. Rigorously tested on MW and DASCMOP test suites, TRC’s performance is either better tha
作者: granite    時(shí)間: 2025-3-31 11:25

作者: 財(cái)主    時(shí)間: 2025-3-31 13:44
Grundlagen der Halbleiter-Elektronikntation. The experimental results on the public remote sensing data set show that the MIOU of this method on US2D dataset reached 69.65%, which are higher than the existing fully-supervised and semi-supervised methods. The effectiveness of the method proposed in this paper is verified.
作者: 身體萌芽    時(shí)間: 2025-3-31 20:22

作者: 哺乳動物    時(shí)間: 2025-4-1 01:16
https://doi.org/10.1007/978-981-97-5578-3Evolutionary Computing and Learning; Swarm Intelligence and Optimization; Neural Networks; Signal Proce
作者: ALIEN    時(shí)間: 2025-4-1 05:13





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