標(biāo)題: Titlebook: Advances in Swarm Intelligence; 14th International C Ying Tan,Yuhui Shi,Wenjian Luo Conference proceedings 2023 The Editor(s) (if applicabl [打印本頁(yè)] 作者: Hermit 時(shí)間: 2025-3-21 19:26
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: excursion 時(shí)間: 2025-3-21 20:43 作者: Culmination 時(shí)間: 2025-3-22 04:14 作者: 圣人 時(shí)間: 2025-3-22 08:00 作者: GUILE 時(shí)間: 2025-3-22 11:21 作者: 錯(cuò)事 時(shí)間: 2025-3-22 14:13 作者: GOAD 時(shí)間: 2025-3-22 19:56
The FLATCON System from Concentrix Solar,roved. However, there is still the risk of falling into the local optimal dilemma. Therefore, the change of population diversity is considered in the evaluation index of population status in this study. In order to further increase the activity of the global search range, the computational individua作者: 難管 時(shí)間: 2025-3-22 22:22
Terrestrial Concentrator PV Systems,ults show that the HAEO algorithm is more competitive than the existing algorithms in terms of accuracy and reliability. Therefore, HAEO can be considered an effective PV model parameter identification method.作者: 威脅你 時(shí)間: 2025-3-23 02:16
III-V Heterostructures in Photovoltaics,search space and the number of substrings of the chunks and double chunks of the message digest in the reference list matching with the incoming ssDeep digest is found and the similarity between the files is computed. It is shown that HHACOS algorithm scales well compared to the existing approaches 作者: 朦朧 時(shí)間: 2025-3-23 07:10 作者: 吊胃口 時(shí)間: 2025-3-23 10:21 作者: GEN 時(shí)間: 2025-3-23 14:14
Antonio L. Luque,Andreev Viacheslavhavior of decentralized, self-organized systems composed of many simple agents that interact with each other and their environment. As the Swarm Intelligence (SI) field expands, more SI meta-heuristics are incorporated into developing new Artificial Intelligence (AI) tools. This study presents a com作者: Decline 時(shí)間: 2025-3-23 18:59 作者: 水獺 時(shí)間: 2025-3-24 01:41 作者: growth-factor 時(shí)間: 2025-3-24 02:54 作者: Spinal-Fusion 時(shí)間: 2025-3-24 09:55
The FLATCON System from Concentrix Solar,w to effectively balance the deep development ability of the algorithm in a small range and the extensive exploration ability in the global search field in the iterative process. For this reason, this topic first proposes a population state evaluation indicator, which continuously detects the state 作者: 使腐爛 時(shí)間: 2025-3-24 11:06
https://doi.org/10.1007/978-3-540-68798-6ion of the population plays a significant role in solving classical optimization issues. Incorporating quasi-random sequences such as the sobol, halton, and torus sequences, this study demonstrates novel ways for swarm initiation. The outcomes of our proposed techniques display outstanding performan作者: 偽善 時(shí)間: 2025-3-24 16:32
Terrestrial Concentrator PV Systems,icient recognition accuracy in identifying their parameters. This paper proposes a hybrid artificial ecosystem-based optimization (HAEO) algorithm for fast, accurate, and reliable identification of PV model parameters under different environmental conditions. In HAEO, a Nelder-Mead polyhedral search作者: 四溢 時(shí)間: 2025-3-24 22:16 作者: 新義 時(shí)間: 2025-3-25 01:17 作者: 緯線 時(shí)間: 2025-3-25 06:55 作者: 火光在搖曳 時(shí)間: 2025-3-25 09:21 作者: Anthrp 時(shí)間: 2025-3-25 14:49 作者: Banister 時(shí)間: 2025-3-25 16:40
Word Meaning and Word Recognitionual communications among particles for their fitness values to find the best position, hence leading to their effective collaboration. However, some real scenes using swarm robots to perform PSO cannot provide reliable communications during their distributed search. To handle such issues, this work 作者: Veneer 時(shí)間: 2025-3-25 21:03 作者: 繁榮地區(qū) 時(shí)間: 2025-3-26 00:59
https://doi.org/10.1007/978-3-642-69000-6models only focus on product value factors but neglect the product robustness, first this paper introduces a product robustness evaluation index into the tolerance optimization allocation. Taking the product robustness and product quality loss cost as the objectives, and letting the processing capab作者: choroid 時(shí)間: 2025-3-26 07:13
https://doi.org/10.1007/978-3-031-36622-2ACO; PSO; ABC; GA; FWA; machine learning; swarm intelligence; optimization algorithm; computer networks; evol作者: Subjugate 時(shí)間: 2025-3-26 09:47 作者: 違反 時(shí)間: 2025-3-26 16:06
Advances in Swarm Intelligence978-3-031-36622-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Graphite 時(shí)間: 2025-3-26 16:49
Overview of Complex Intelligent System Reliability Technologydural faults. This paper focuses on exploring the variable content of improved reliability and puts forward the power point of reliability analysis and verification method according to the fault characteristics of intelligent system. It also provides ideas for in-depth research on the reliability of intelligent systems.作者: hedonic 時(shí)間: 2025-3-26 21:43
An Improved Fire Hawks Optimizer for Function Optimizationapproach. Additionally, the outcomes produced from our proposed work exhibits anticipation that how immensely the proposed approach highly influences the value of cost function, convergence rate, and diversity.作者: sed-rate 時(shí)間: 2025-3-27 03:09
Hybrid Algorithm Based on Phasor Particle Swarm Optimization and Firefly Algorithm comparison algorithms. Finally, the experimental findings show that HBPPSO unifies the strengths of managing the learning parameters in both PPSO and FA algorithms while alleviating the weakness of premature convergence, improving searching accuracy and avoiding slipping into local optimum.作者: Paradox 時(shí)間: 2025-3-27 06:22 作者: 缺乏 時(shí)間: 2025-3-27 11:13
0302-9743 e, ICSI 2023, which took place in Shenzhen, China, China, in July 2023. The theme of this year’s conference was “Serving Life with Swarm Intelligence”..The 81 full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized into 12 cohesive sections covering 作者: Obstreperous 時(shí)間: 2025-3-27 14:35 作者: NADIR 時(shí)間: 2025-3-27 19:44 作者: 革新 時(shí)間: 2025-3-27 22:05 作者: Spangle 時(shí)間: 2025-3-28 05:47
Terrestrial Concentrator PV Systems, WTA problem. The results show the efficiency of the proposed method in solving the problem with 100% convergence and provide statistically better results in all 12 different problem scenarios with low to high dimensions.作者: critique 時(shí)間: 2025-3-28 08:35
Silicon concentrator solar cells,image point value of the same length is searched only from the matching position of the previous query image point value, further reducing the search space. The computational complexity of the proposal is less compared to the existing approaches for point pattern matching. Experimental results prove the efficiency of IACOBSPPM algorithm.作者: 不幸的人 時(shí)間: 2025-3-28 11:29
The Conceptual Basis for Language 29 benchmark functions of CEC2017 are chosen to compare with four well-known BBPSO-based algorithms. The experimental results indicate that ARBBPSO is superior to several other algorithms for improving BBPSO from a comprehensive consideration.作者: Tractable 時(shí)間: 2025-3-28 16:03 作者: 我的巨大 時(shí)間: 2025-3-28 19:52 作者: 入伍儀式 時(shí)間: 2025-3-28 23:23
Improved Ant Colony Optimization Based Binary Search for Point Pattern Matching for Efficient Image image point value of the same length is searched only from the matching position of the previous query image point value, further reducing the search space. The computational complexity of the proposal is less compared to the existing approaches for point pattern matching. Experimental results prove the efficiency of IACOBSPPM algorithm.作者: 減少 時(shí)間: 2025-3-29 05:55 作者: SOBER 時(shí)間: 2025-3-29 10:22 作者: modest 時(shí)間: 2025-3-29 12:55 作者: Ccu106 時(shí)間: 2025-3-29 16:33 作者: Synapse 時(shí)間: 2025-3-29 22:28
Springer Series in Optical Sciencesdural faults. This paper focuses on exploring the variable content of improved reliability and puts forward the power point of reliability analysis and verification method according to the fault characteristics of intelligent system. It also provides ideas for in-depth research on the reliability of intelligent systems.作者: 巨碩 時(shí)間: 2025-3-30 01:15 作者: Triglyceride 時(shí)間: 2025-3-30 08:03 作者: 按時(shí)間順序 時(shí)間: 2025-3-30 10:37 作者: JADED 時(shí)間: 2025-3-30 14:23
https://doi.org/10.1007/978-981-19-4411-6ts are introduced to update the positions of particles in BPPSO, achieving complementary advantages of BFO and PPSO. Finally, BPPSO is validated using eight benchmark functions, demonstrating its fast convergence speed, high computational accuracy, and good stability, making it a powerful global optimization algorithm.作者: Cuisine 時(shí)間: 2025-3-30 16:41 作者: 輕推 時(shí)間: 2025-3-30 22:07
Swarm Intelligence Algorithms and Applications: An Experimental Surveyhavior of decentralized, self-organized systems composed of many simple agents that interact with each other and their environment. As the Swarm Intelligence (SI) field expands, more SI meta-heuristics are incorporated into developing new Artificial Intelligence (AI) tools. This study presents a com作者: OFF 時(shí)間: 2025-3-31 01:23 作者: 射手座 時(shí)間: 2025-3-31 07:41 作者: arboretum 時(shí)間: 2025-3-31 11:13
Multi-Modal Honey Bee Foraging Optimizer for?Weapon Target Assignment Problem Defence or Military Operations research and the threat is continually increasing as technological advances increase and decision-making is becoming extremely intricate. As the problem falls into the category of NP-complete, heuristic algorithms compete over traditional methods and give near optimal
