Results 31 to 40 of about 81,243 (278)
Building nearest prototype classifiers using a Michigan approach PSO [PDF]
, 2007 IEEE Swarm Intelligence Symposium. Honolulu, HI, 1-5 april 2007This paper presents an application of particle swarm optimization (PSO) to continuous classification problems, using a Michigan approach. In this work, PSO is used to process training data to
Cervantes, Alejandro +2 more
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A Survey of Using Swarm Intelligence Algorithms in IoT [PDF]
Sensors, 2020 With the continuing advancements in technologies (such as machine to machine, wireless telecommunications, artificial intelligence, and big data analysis), the Internet of Things (IoT) aims to connect everything for information sharing and intelligent decision-making. Swarm intelligence (SI) provides the possibility of SI behavior through collaboration
Weifeng Sun +4 more
openaire +3 more sources
A Hybrid Artificial Grasshopper Optimization (HAGOA) Meta-Heuristic Approach: A Hybrid Optimizer For Discover the Global Optimum in Given Search Space [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 Meta-heuristic algorithms are used to get optimal solutions in different engineering branches. Here four types of meta-heuristics algorithms are used such as evolutionary algorithms, swarm-based algorithms, physics based algorithms and human based ...
Brahm Prakash Dahiya +2 more
doaj +1 more source
MATEC Web of Conferences, 2018 The intelligent recommendation ability of social networks is improved, a hybrid recommendation algorithm is proposed based on swarm intelligence for users' potential features in social networks.
Lu Xing-Hua +3 more
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A social spider algorithm for global optimization [PDF]
, 2015 The growing complexity of real-world problems has motivated computer scientists to search for efficient problem-solving methods. Metaheuristics based on evolutionary computation and swarm intelligence are outstanding examples of nature-inspired solution ...
Li, VOK, Yu, JJ
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Swarm Intelligence Algorithms in Bioinformatics [PDF]
, 2008 Research in bioinformatics necessitates the use of advanced computing tools for processing huge amounts of ambiguous and uncertain biological data. Swarm Intelligence (SI) has recently emerged as a family of nature inspired algorithms, especially known for their ability to produce low cost, fast and reasonably accurate solutions to complex search ...
Swagatam Das, Ajith Abraham, Amit Konar
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Analysing Convergence, Consistency, and Trajectory of Artificial Bee Colony Algorithm
IEEE Access, 2018 Recently, swarm intelligence-based algorithms gained attention of the researchers due to their wide applicability and ease of implementation. However, much research has been made on the development of swarm intelligence algorithms but theoretical ...
Jagdish Chand Bansal +2 more
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Complexity, 2021 The swarm intelligence algorithm simulates the behavior of animal populations in nature and is a new type of intelligent solution that is different from traditional artificial intelligence. Feature selection is a very common data dimensionality reduction
Bingsheng Chen, Huijie Chen, Mengshan Li
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Advances in Mechanical Engineering, 2021 At present, there are some problems that need to be solved in crane steel structure design, such as heavy self-weight of finished structure, high production energy consumption, and huge manufacturing costs.
Qisong Qi +4 more
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An Efficient Algorithm for Optimizing Adaptive Quantum Metrology Processes
, 2011 Quantum-enhanced metrology infers an unknown quantity with accuracy beyond the standard quantum limit (SQL). Feedback-based metrological techniques are promising for beating the SQL but devising the feedback procedures is difficult and inefficient.
A. Hentschel +11 more
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