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检索条件"主题词=Bioinspired algorithms"
41 条 记 录,以下是21-30 订阅
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Chaotic metaheuristic algorithms for learning and reproduction of robot motion trajectories
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NEURAL COMPUTING & APPLICATIONS 2018年 第4期30卷 1065-1083页
作者: Mitic, Marko Vukovic, Najdan Petrovic, Milica Miljkovic, Zoran Univ Belgrade Fac Mech Engn Prod Engn Dept Kraljice Marije 16 Belgrade 11120 35 Serbia Univ Belgrade Fac Mech Engn Innovat Ctr Kraljice Marije 16 Belgrade 11120 35 Serbia
Most of today's mobile robots operate in controlled environments prone to various unpredictable conditions. Programming or reprogramming of such systems is time-consuming and requires significant efforts by number... 详细信息
来源: 评论
VMMISD: An Efficient Load Balancing Model for Virtual Machine Migrations via Fused Metaheuristics With Iterative Security Measures and Deep Learning Optimizations
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IEEE ACCESS 2024年 12卷 39351-39374页
作者: Brahmam, Madala Guru Anand, Vijay R. Vellore Inst Technol Sch Comp Sci Engn & Informat Syst Vellore 632014 Tamil Nadu India
As cloud computing continues to evolve, the need for efficient and secure management of virtual machine (VM) migrations has become increasingly evident. Traditional models often fall short in optimizing load balancing... 详细信息
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Lens-Oppositional Wild Geese Optimization Based Clustering Scheme for Wireless Sensor Networks Assists Real Time Disaster Management
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Computer Systems Science & Engineering 2023年 第7期46卷 835-851页
作者: R.Surendran Youseef Alotaibi Ahmad F.Subahi Department of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennaiIndia Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Computer Science University College of Al JamoumUmm Al-Qura UniversityMakkah21421Saudi Arabia
Recently,wireless sensor networks(WSNs)find their applicability in several real-time applications such as disaster management,military,surveillance,healthcare,*** utilization of WSNs in the disaster monitoring process... 详细信息
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A Hybrid bioinspired Approach for Advanced Image Reconstruction
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IEEE ACCESS 2024年 12卷 165948-165962页
作者: Lobato-Larios, Salvador Starostenko, Oleg Alarcon-Aquino, Vicente Univ Sierra Juarez Inst Environm Studies Ixtlan de Juarez 68725 Oaxaca Mexico Univ las Amer Puebla Dept Comp Elect & Mechatron Cholula 72810 Mexico
With the exponential growth of digital imagery, some novel techniques for visual information reconstruction are needed since the development of high-speed and precision methods is still an open problem for several app... 详细信息
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OKSP: A Novel Deep Learning Automatic Event Detection Pipeline for Seismic Monitoring in Costa Rica  3
OKSP: A Novel Deep Learning Automatic Event Detection Pipeli...
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3rd IEEE International Conference on bioinspired Processing (BIP)
作者: van der Laat, Leonardo Baldares, Ronald J. L. Chaves, Esteban J. Meneses, Esteban Costa Rica High Technol Ctr San Jose Costa Rica Costa Rica Inst Technol San Jose Costa Rica Natl Univ Volcanol & Seismol Observ Costa Rica Heredia Costa Rica
Small magnitude earthquakes are the most abundant but the most difficult to locate robustly and well due to their low amplitudes and high frequencies usually obscured by heterogeneous noise sources. They highlight cru... 详细信息
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Parallel Hybrid Genetic Algorithm for Solving Design and Optimization Problems
Parallel Hybrid Genetic Algorithm for Solving Design and Opt...
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International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS)
作者: Gladkov, L. A. Gladkova, N., V Semushin, E. Y. Southern Fed Univ Taganrog Russia
The paper considers a problem of building the hybrid algorithm for solving the optimization design tasks on the basis of integration of different methods of computation intelligence. The authors describe the definitio... 详细信息
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FaiNet: An Immune Algorithm for Fuzzy Clustering
FaiNet: An Immune Algorithm for Fuzzy Clustering
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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
作者: Szabo, Alexandre de Castro, Leandro Nunes Delgado, Myriam Regattieri Univ Prebiteriana Mackenzie Nat Comp Lab LCoN Sao Paulo Brazil Univ Tecnol Fed Parana Curitiba Parana Brazil
Data clustering is useful in several areas, such as web mining, biology, climate, medical diagnosis, computer vision, marketing and others. Thus, in real problems, data can simultaneously belong to more than one clust... 详细信息
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Using Swarm Intelligence in Unmanned Aerial Vehicles for Unknown Location Fixed Target Search  10
Using Swarm Intelligence in Unmanned Aerial Vehicles for Unk...
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10th Euro-American Conference on Telematics and Information Systems (EATIS)
作者: Paula, Patricia de Sousa Ferreira Sarmento, Wellington W. Louis Paillard, Gabriel A. de Castro, Miguel Franklin Univ Fed Ceara Fortaleza Ceara Brazil
The context of this research is the use of bioinspired algorithms applied to unmanned aerial vehicles (UAV) to search for a fixed target of unknown location. A target can be a lost human being or a broken vehicle, for... 详细信息
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Bacterial Foraging Optimization for VLSI Fragments Placement  2nd
Bacterial Foraging Optimization for VLSI Fragments Placement
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2nd International Scientific Conference on Intelligent Information Technologies for Industry (IITI)
作者: Zaporozhets, Dmitry Zaruba, Daria Southern Fed Univ Rostov Na Donu Russia
The paper deals with one of the most significant problem of computer design - a VLSI placement problem. The authors prove a relevance of new heuristic methods for the given problem. The VLSI placement problem is formu... 详细信息
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CIP-aiNet: An Entropy-based Immune Network for Multiple Clustering
CIP-aiNet: An Entropy-based Immune Network for Multiple Clus...
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IEEE Congress on Evolutionary Computation (IEEE CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Borges, Ederson Coelho, Guilherme Palermo Univ Campinas SP Sch Technol FT Limeira Brazil
Datasets interpretation can be a hard task due to their complexity and heterogeneity. Several works have dealt with multiple clustering to bring in new information from databases, which differs from traditional approa... 详细信息
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