標(biāo)題: Titlebook: Advances in Swarm Intelligence; 7th International Co Ying Tan,Yuhui Shi,Ben Niu Conference proceedings 2016 Springer International Publishi [打印本頁] 作者: 無限 時(shí)間: 2025-3-21 19:33
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: forthy 時(shí)間: 2025-3-21 23:53 作者: 搬運(yùn)工 時(shí)間: 2025-3-22 03:21 作者: Innovative 時(shí)間: 2025-3-22 06:49 作者: 品牌 時(shí)間: 2025-3-22 10:07
Swarmscape: A Synergistic Approach Combining Swarm Simulations, Body Movement and Volumetric Project, frequency and intensity of movement of human body are used as parameters for activating a swarm of volumetrically projected digital particles/agents in space in real-time. Evolving 3D topological nuances within which the participant navigates and in doing so triggers further evolution of these immersive topologies are thus materialized.作者: 無能力 時(shí)間: 2025-3-22 16:45
Particle Filter Optimization: A Brief Introductionthe theoretical foundation for all PFO algorithms. Second, it reviews PFO algorithms under the umbrella of the PF theory. Lastly, it discusses promising research directions on the interface of PF methods and swarm intelligence techniques.作者: 使成整體 時(shí)間: 2025-3-22 20:37
A Simulation Study on Collective Motion of Fish Schoolsde when they are very close to medium fish. Originality of the paper comes from the investigation of collective motion of fish with respect to these four modes. Also it is possible to add new individuals and moving feeds while the simulation is running. Polarization and expanse changes of swarm is also analyzed for two modes.作者: CAGE 時(shí)間: 2025-3-22 23:38 作者: 單色 時(shí)間: 2025-3-23 02:26
Recapitulations and Contributionsh worst fighting capabilities is eliminated to maintain the amount of duelists. Several benchmark functions is used in this work. The results shows that Duelist Algorithm outperform other algorithms in several functions.作者: Jingoism 時(shí)間: 2025-3-23 09:00 作者: Anticonvulsants 時(shí)間: 2025-3-23 10:30
Kymberley K. Bennett,Jennifer L. Boothbywhose structures are present in the Protein Data Bank and which have been used in previous literature. Results obtained by our SS algorithm are compared with other approaches. The 3D models predicted by our algorithm show improved root mean standard deviations with respect to the native structures.作者: 聯(lián)想記憶 時(shí)間: 2025-3-23 17:34
Theories of Coping with Chronic Stress and valid table alternately during the process of supports seeking, also our method is scalable since it does not need data structure to maintain the validity of tuples. The experimental results show that AC5TC-Alter outperforms most baseline algorithms on time complexity and AC5TC-Tr on space complexity.作者: 隼鷹 時(shí)間: 2025-3-23 20:52 作者: 任命 時(shí)間: 2025-3-23 22:13
Research Hotspots and Trends in Swarm Intelligence: From 2000 to 2015word co-citation analysis, semantic clustering and Keyword Frequent Burst Detection were applied to provide a dynamic view of the evolution of swarm intelligence research hotpots and trends from various perspectives which may serve as a potential guide for future research.作者: Antagonism 時(shí)間: 2025-3-24 05:35
Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duelh worst fighting capabilities is eliminated to maintain the amount of duelists. Several benchmark functions is used in this work. The results shows that Duelist Algorithm outperform other algorithms in several functions.作者: 松馳 時(shí)間: 2025-3-24 10:03 作者: Horizon 時(shí)間: 2025-3-24 14:16
Scatter Search for Homology Modelingwhose structures are present in the Protein Data Bank and which have been used in previous literature. Results obtained by our SS algorithm are compared with other approaches. The 3D models predicted by our algorithm show improved root mean standard deviations with respect to the native structures.作者: ethereal 時(shí)間: 2025-3-24 16:01 作者: HEDGE 時(shí)間: 2025-3-24 21:10 作者: Congeal 時(shí)間: 2025-3-25 02:29 作者: FLORA 時(shí)間: 2025-3-25 05:14 作者: 人工制品 時(shí)間: 2025-3-25 10:30
Kymberley K. Bennett,Jennifer L. Boothbyus search architectures. To this end, we employ a set of well-known benchmarks that share general features that may be present on most constraint satisfaction and optimization problems. We believe this information will be useful in order to design better autonomous search systems for constraint satisfaction.作者: 違抗 時(shí)間: 2025-3-25 12:17
https://doi.org/10.1007/978-1-4757-9862-3 increase the diversity of the population. Then put forward the ABC-M-CS algorithm and use the thought of K-means to cluster UCI data. The experimental results on UCI data sets indicate that ABC-M-CS algorithm has the fastest convergence speed, highest accuracy and stability.作者: 多嘴多舌 時(shí)間: 2025-3-25 16:01 作者: Abrade 時(shí)間: 2025-3-25 21:31 作者: Connotation 時(shí)間: 2025-3-26 03:45
Autonomous Search in Constraint Satisfaction via Black Hole: A Performance Evaluation Using Differenus search architectures. To this end, we employ a set of well-known benchmarks that share general features that may be present on most constraint satisfaction and optimization problems. We believe this information will be useful in order to design better autonomous search systems for constraint satisfaction.作者: 確保 時(shí)間: 2025-3-26 04:36 作者: 感染 時(shí)間: 2025-3-26 11:13
Fundamental Diagrams of Single-File Pedestrian Flow for Different Age Groupsod considering pedestrian free velocity and body size is used to scale the fundamental diagrams for different age groups. The study is helpful to understand evolution of pedestrian dynamics with different ages.作者: dissolution 時(shí)間: 2025-3-26 13:58 作者: 水汽 時(shí)間: 2025-3-26 20:46 作者: 熱心 時(shí)間: 2025-3-26 21:59 作者: Mendacious 時(shí)間: 2025-3-27 03:34
Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Dueluelists. The duel is to determine the winner and loser. The loser learns from the winner, while the winner try their new skill or technique that may improve their fighting capabilities. A few duelists with highest fighting capabilities are called as champion. The champion train a new duelist such as作者: Suppository 時(shí)間: 2025-3-27 06:45 作者: Aviary 時(shí)間: 2025-3-27 13:20 作者: LITHE 時(shí)間: 2025-3-27 14:18
Scatter Search for Homology Modelingignments. To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. SS is an evolutionary approach that is based on a population of candidate solutions. These candidates undergo evolutionary operations that combine search intensification and diversification over a numb作者: 能量守恒 時(shí)間: 2025-3-27 20:51 作者: GRE 時(shí)間: 2025-3-27 22:41
An Ideal Fine-Grained GAC Algorithm for Table Constraintsagation queue. Three efficient implementations of AC5TC algorithm have been proposed in [.]. One of these algorithms (called AC5TC-Tr) has an optimal time complexity theoretically, but its space complexity is inefficient because of the dynamic data structure. This paper proposes a novel algorithm ba作者: Concrete 時(shí)間: 2025-3-28 02:34 作者: auxiliary 時(shí)間: 2025-3-28 09:51 作者: cogent 時(shí)間: 2025-3-28 11:14 作者: thyroid-hormone 時(shí)間: 2025-3-28 16:53
A Simulation Study on Collective Motion of Fish SchoolsFour modes are considered during the simulation. These modes are introduced as searching, swarm, feeding and escape modes. The simulation consists of three different sizes of fish. The medium fish try to hunt down the small ones while the big fish follows the medium ones. Feeds always have escape mo作者: Optimum 時(shí)間: 2025-3-28 20:38
Swarmscape: A Synergistic Approach Combining Swarm Simulations, Body Movement and Volumetric Projectnamic movement of the human body and swarm intelligence driven generative geometry production techniques to drive volumetric projection systems. Speed, frequency and intensity of movement of human body are used as parameters for activating a swarm of volumetrically projected digital particles/agents作者: 敲詐 時(shí)間: 2025-3-29 00:20 作者: 即席演說 時(shí)間: 2025-3-29 04:33 作者: 松果 時(shí)間: 2025-3-29 09:36 作者: 卵石 時(shí)間: 2025-3-29 15:18 作者: nominal 時(shí)間: 2025-3-29 16:49 作者: monogamy 時(shí)間: 2025-3-29 23:25 作者: Atheroma 時(shí)間: 2025-3-30 01:42 作者: 中子 時(shí)間: 2025-3-30 08:01
Coping with Caveats in Coalition Warfareregarding swarm intelligence as a potential tool to support the design process, to improve architectural use and further create novel building systems, based on self-organization principles. In architectural applications, swarm intelligence offers a high potential of resilience, and solutions that a作者: 過份艷麗 時(shí)間: 2025-3-30 11:38 作者: 污穢 時(shí)間: 2025-3-30 14:36
Recapitulations and Contributionsmetric approach to quantitatively assessing current research hotspots and trends on Swarm Intelligence, using the related literature in the Science Citation Index (SCI) database from 2000 to 2015. Articles referring to Swarm Intelligence were concentrated on the analysis of scientific outputs, distr作者: 貪婪性 時(shí)間: 2025-3-30 18:05
Recapitulations and Contributionsuelists. The duel is to determine the winner and loser. The loser learns from the winner, while the winner try their new skill or technique that may improve their fighting capabilities. A few duelists with highest fighting capabilities are called as champion. The champion train a new duelist such as作者: BRUNT 時(shí)間: 2025-3-30 23:49
Cynthia L. Radnitz,Lana Tierskystraint of limited computational budget. For this, we propose a local-surrogate based multi-objective memetic algorithm to solve the optimization problem coupled with uncertainty quantification method to calculate the robustness values. The robust optimization framework was applied to two aerodynami作者: 航海太平洋 時(shí)間: 2025-3-31 04:13
Kymberley K. Bennett,Jennifer L. Boothbye idea is to let the solver engine to autonomously replace its solving strategies by more promising ones when poor performances are identified. The replacement is controlled by a choice function, which takes decisions based on information collected during solving time. However, the design of choice 作者: Paleontology 時(shí)間: 2025-3-31 05:06 作者: 共同時(shí)代 時(shí)間: 2025-3-31 11:33 作者: Indent 時(shí)間: 2025-3-31 15:45
Theories of Coping with Chronic Stressagation queue. Three efficient implementations of AC5TC algorithm have been proposed in [.]. One of these algorithms (called AC5TC-Tr) has an optimal time complexity theoretically, but its space complexity is inefficient because of the dynamic data structure. This paper proposes a novel algorithm ba
