Results 31 to 40 of about 4,867,076 (293)
IEEE Access, 2019 Network performance optimization has always been one of the important research subjects in mobile wireless sensor networks. With the expansion of the application field of MWSNs and the complexity of the working environment, traditional network ...
Li Cao, Yong Cai, Yinggao Yue
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Two dimensional particle swarm optimization algorithm for load flow analysis [PDF]
International Journal of Computational Intelligence Systems, 2014 Methods generally used for load flow analysis have been found to be time consuming and complex. This paper presents an optimization algorithm for load flow analysis inspired from swarm optimization techniques.
Shabana Mehfuz, Sumit Kumar
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Particle Filtering Optimized by Swarm Intelligence Algorithm
Journal of Intelligent Learning Systems and Applications, 2010 A new filtering algorithm — PSO-UPF was proposed for nonlinear dynamic systems. Basing on the concept of re-sampling, particles with bigger weights should be re-sampled more time, and in the PSO-UPF, after calculating the weight of particles, some particles will join in the refining process, which means that these particles will move to the region with
Wei Jing +3 more
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Orthogonal learning particle swarm optimization [PDF]
, 2010 Particle swarm optimization (PSO) relies on its learning strategy to guide its search direction. Traditionally, each particle utilizes its historical best experience and its neighborhood’s best experience through linear summation.
Zhi-hui Zhan +7 more
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MAKHA—A New Hybrid Swarm Intelligence Global Optimization Algorithm [PDF]
Algorithms, 2015 The search for efficient and reliable bio-inspired optimization methods continues to be an active topic of research due to the wide application of the developed methods. In this study, we developed a reliable and efficient optimization method via the hybridization of two bio-inspired swarm intelligence optimization algorithms, namely, the Monkey ...
Ahmed M. E. Khalil +2 more
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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
Galván, Inés M. +8 more
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International Journal of Computational Intelligence Systems, 2020 Multiple Input Multiple Output (MIMO) is a technology used to improve the channel capacity of the wireless communication systems. Rapid increase in the number of users has led to data rate demand increased in growing modern wireless communication systems.
Muhammad Asadullah +5 more
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Adaptive particle swarm optimization [PDF]
, 2009 An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence ...
Zhan, Z-H. +3 more
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A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]
, 2010 Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
Wang, H +11 more
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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
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