EAN: 9783031005763

SYNTHESIS LECTURES ON COMPUTATIONAL ELECTROMAGN...

This 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

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