000 | 03402nam a22005175i 4500 | ||
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001 | 978-3-031-01704-9 | ||
003 | DE-He213 | ||
005 | 20240730164904.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2008 sz | s |||| 0|eng d | ||
020 |
_a9783031017049 _9978-3-031-01704-9 |
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024 | 7 |
_a10.1007/978-3-031-01704-9 _2doi |
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050 | 4 | _aT1-995 | |
072 | 7 |
_aTBC _2bicssc |
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_a620 _223 |
100 | 1 |
_aMikki, Said M. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _986536 |
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245 | 1 | 0 |
_aParticle Swarm Optimizaton _h[electronic resource] : _bA Physics-Based Approach / _cby Said M. Mikki, Ahmed A. Kishk. |
250 | _a1st ed. 2008. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2008. |
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300 |
_aIX, 93 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Computational Electromagnetics, _x1932-1716 |
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505 | 0 | _aIntroduction -- The Classical Particle Swarm Optimization Method -- Boundary Conditions for the PSO Method -- The Quantum Particle Swarm Optimization -- Bibliography.-Index. | |
520 | _aThis work aims to provide new introduction to the particle swarm optimization methods using a formal analogy with physical systems. By postulating that the swarm motion behaves similar to both classical and quantum particles, we establish a direct connection between what are usually assumed to be separate fields of study, optimization and physics. Within this framework, it becomes quite natural to derive the recently introduced quantum PSO algorithm from the Hamiltonian or the Lagrangian of the dynamical system. The physical theory of the PSO is used to suggest some improvements in the algorithm itself, like temperature acceleration techniques and the periodic boundary condition. At the end, we provide a panorama of applications demonstrating the power of the PSO, classical and quantum, in handling difficult engineering problems. The goal of this work is to provide a general multi-disciplinary view on various topics in physics, mathematics, and engineering by illustrating their interdependence within the unified framework of the swarm dynamics. Table of Contents: Introduction / The Classical Particle Swarm Optimization Method / Boundary Conditions for the PSO Method / The Quantum Particle Swarm Optimization / Bibliography /Index. | ||
650 | 0 |
_aEngineering. _99405 |
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650 | 0 |
_aElectrical engineering. _986537 |
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650 | 0 |
_aTelecommunication. _910437 |
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650 | 1 | 4 |
_aTechnology and Engineering. _986540 |
650 | 2 | 4 |
_aElectrical and Electronic Engineering. _986541 |
650 | 2 | 4 |
_aMicrowaves, RF Engineering and Optical Communications. _931630 |
700 | 1 |
_aKishk, Ahmed A. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _986543 |
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710 | 2 |
_aSpringerLink (Online service) _986546 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031005763 |
776 | 0 | 8 |
_iPrinted edition: _z9783031028328 |
830 | 0 |
_aSynthesis Lectures on Computational Electromagnetics, _x1932-1716 _986548 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01704-9 |
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