A New Particle Swarm Optimization Method Enhanced With a Periodic Mutation Strategy and Neural Networks

Particle swarm optimization (PSO), a relatively new population-based intelligence algorithm, exhibits good performance on optimization problems. However, during the optimization process, the particles become more and more similar, and gather into the neighborhood of the best particle in the swarm, w...

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Veröffentlicht in:	IEEE transactions on evolutionary computation 2013-06, Vol.17 (3), p.436-452
1. Verfasser:	Pehlivanoglu, Y. V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerodynamics Airfoil Algorithm design and analysis Algorithmics. Computability. Computer arithmetics Applied fluid mechanics Applied sciences Compressible flows shock and detonation phenomena Computer science control theory systems Convergence diversity Equations Exact sciences and technology Fluid dynamics Fundamental areas of phenomenology (including applications) Materials mutation neural nets Optimization Particle swarm optimization particle swarm optimization (PSO) Physics Shock-wave interactions and shock effects Solid mechanics Structural and continuum mechanics Theoretical computing Vectors Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)
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