Results 261 to 270 of about 269,671 (328)
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The 5th International Conference on Automation, Robotics and Applications, 2011
In this work we propose the Random Asynchronous PSO (RAPSO) algorithm, a rather simple but intuitive variant of the Asynchronous PSO (APSO) that introduces a randomized order in which particles share their information. Our algorithm, while conceived as serial in terms of execution, is able to model the behavior of the Parallel Asynchronous PSO (PAPSO ...
Juan Rada-Vilela +2 more
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In this work we propose the Random Asynchronous PSO (RAPSO) algorithm, a rather simple but intuitive variant of the Asynchronous PSO (APSO) that introduces a randomized order in which particles share their information. Our algorithm, while conceived as serial in terms of execution, is able to model the behavior of the Parallel Asynchronous PSO (PAPSO ...
Juan Rada-Vilela +2 more
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A hybrid PSO-GA algorithm for constrained optimization problems
Applied Mathematics and Computation, 2016Harish Garg
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NSC-PSO, a Novel PSO Variant without Speeds and Coefficients
2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2015The paper is introducing the principles of a new global optimization method, No Speeds and Coefficients Particle Swarm Optimization (NSC-PSO), applied to approaching the Continuous Global Optimization Problem (CGOP). Inspired from existing meta-heuristic optimization methods in the Swarm Intelligence (SI) class, like canonical Particle Swarm ...
George Anescu, Ilie Prisecaru
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Energy, 2019
Reaction kinetic parameters estimation of biomass pyrolysis is a relatively difficult optimization problem due to the complexity of pyrolysis model.
Yanming Ding, Wenlong Zhang
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Reaction kinetic parameters estimation of biomass pyrolysis is a relatively difficult optimization problem due to the complexity of pyrolysis model.
Yanming Ding, Wenlong Zhang
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Cellular PSO: A PSO for Dynamic Environments
2009Many optimization problems in real world are dynamic in the sense that the global optimum value and the shape of fitness function may change with time. The task for the optimization algorithm in these environments is to find global optima quickly after the change in environment is detected. In this paper, we propose a new hybrid model of particle swarm
Ali B. Hashemi, Mohammad Reza Meybodi
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Modification of landslide susceptibility mapping using optimized PSO-ANN technique
Engineering With Computers, 2018Hossein Moayedi +2 more
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An improved rotationally invariant PSO: A modified standard PSO-2011
2016 IEEE Congress on Evolutionary Computation (CEC), 2016Particle swarm optimization (PSO) is a stochastic population-based algorithm that is designed for real-parameter optimization problems. PSO is simple and powerful algorithm, and is applied to many real world problems. However, because the bias of the search area exists in the conventional PSO, the search performance is deteriorated in non-separable ...
Yosuke Hariya +2 more
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, 2020
One of the major properties of biodiesel fuels is cetane number (CN) which expresses the ignition characteristics and quality of motor power. The main idea of this work was proposing an accurate model for estimation of the cetane number of biodiesel in ...
A. Bemani +5 more
semanticscholar +1 more source
One of the major properties of biodiesel fuels is cetane number (CN) which expresses the ignition characteristics and quality of motor power. The main idea of this work was proposing an accurate model for estimation of the cetane number of biodiesel in ...
A. Bemani +5 more
semanticscholar +1 more source
Swarm and Evolutionary Computation, 2019
Swarm intelligence algorithms have been widely adopted in solving many highly nonlinear, multimodal problems and have achieved tremendous successes. However, their application on deep neural networks is largely unexplored.
Yulong Wang +2 more
semanticscholar +1 more source
Swarm intelligence algorithms have been widely adopted in solving many highly nonlinear, multimodal problems and have achieved tremendous successes. However, their application on deep neural networks is largely unexplored.
Yulong Wang +2 more
semanticscholar +1 more source
Hybrid PSO-GSA for energy efficient spectrum sensing in cognitive radio network
Physical Communication, 2020The Cognitive Radio Network (CRN) in 5G heterogeneous network has trade-off between energy efficiency and spectrum sensing efficiency. Energy Efficiency is important for designing the battery-powered cognitive radio network.
Geoffrey Eappen, S. Thangavelu
semanticscholar +1 more source