Results 11 to 20 of about 14,617,102 (265)
Particle filter with swarm move for optimization [PDF]
, 2008 Copyright @ Springer-Verlag Berlin Heidelberg 2008.We propose a novel generalized algorithmic framework to utilize particle filter for optimization incorporated with the swarm move method in particle swarm optimization (PSO).
Yang, S +11 more
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Adaptive Beamsteering Cognitive Radar With Integrated Search-and-Track of Swarm Targets
IEEE Access, 2021 Adaptive beamsteering cognitive radar (AB-CRr) systems seek to improve detection and tracking performance by formulating a beam placement strategy adapted to their environment. AB-CRr builds a probabilistic model of the target environment that enables it
Zachary W. Johnson, Ric A. Romero
doaj +1 more source
Swarm Trapping for Pest Control Operators
EDIS, 2009 ENY148, a 6-page illustrated fact sheet by M. K. O’Malley, J. D. Ellis, and C. M. Zettel Nalen, outlines the standard operating procedures for swarm trapping by certified Pest Control Operators as a means of capturing and removing a nesting Africanized ...
Michael K. O'Malley +2 more
doaj +5 more sources
Precise Orbit Solution for Swarm Using Space-Borne GPS Data and Optimized Pseudo-Stochastic Pulses
Sensors, 2017 Swarm is a European Space Agency (ESA) project that was launched on 22 November 2013, which consists of three Swarm satellites. Swarm precise orbits are essential to the success of the above project.
Bingbing Zhang +5 more
doaj +1 more source
Dependable Parallel Multi-Swarm C-DEEPSO with Migration for Voltage and Reactive Power Control
IFAC-PapersOnLine, 2019 Abstract This paper proposes dependable parallel multi-swarm canonical differential evolutionary particle swarm optimization with migration (DPMS-CDEEPSOw/M) for voltage and reactive power control (Volt/Var Control: VVC). The proposed DPMS-CDEEPSOw/M is a general evolutionary computation technique for dependable and fast optimization applications. So
Hotaka Yoshida, Yoshikazu Fukuyama
openaire +1 more source
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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An Estimation of Distribution Particle Swarm Optimization Algorithm [PDF]
, 2006 In this paper we present an estimation of distribution par-ticle swarm optimization algorithm that borrows ideas from recent de-velopments in ant colony optimization.
Iqbal, Mudassar +5 more
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Creativity and Autonomy in Swarm Intelligence Systems [PDF]
, 2012 This work introduces two swarm intelligence algorithms -- one mimicking the behaviour of one species of ants (\emph{Leptothorax acervorum}) foraging (a `Stochastic Diffusion Search', SDS) and the other algorithm mimicking the behaviour of birds flocking (
Bishop, Mark (J. M.) +3 more
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IEEE Access, 2018 With the battlefield becoming more challenging, the aviation swarm is considered a promising organization of air combat forces to execute both combat and non-combat air missions.
Kefan Chen +4 more
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Particle swarm for attribute selection in Bayesian classification: an application to protein function prediction [PDF]
, 2008 The discrete particle swarm optimization (DPSO) algorithm is an optimization technique which belongs to the fertile paradigm of Swarm Intelligence. Designed for the task of attribute selection, the DPSO deals with discrete variables in a straightforward ...
Freitas, AA +5 more
core +1 more source