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020 _a9783031017049
_9978-3-031-01704-9
024 7 _a10.1007/978-3-031-01704-9
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aMikki, Said M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_986536
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.
300 _aIX, 93 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Computational Electromagnetics,
_x1932-1716
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
650 0 _aElectrical engineering.
_986537
650 0 _aTelecommunication.
_910437
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
710 2 _aSpringerLink (Online service)
_986546
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
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01704-9
912 _aZDB-2-SXSC
942 _cEBK
999 _c85971
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