Tao Wu1, Lei Xie1, Xi Chen2, Amir Homayoon Ashrafzadeh3, Shu Zhang4, *
CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 873-890, 2020, DOI:10.32604/cmc.2020.07478
Abstract The efficient management of ambulance routing for emergency requests is vital
to save lives when a disaster occurs. Quantum-behaved Particle Swarm Optimization
(QPSO) algorithm is a kind of metaheuristic algorithms applied to deal with the problem of
scheduling. This paper analyzed the motion pattern of particles in a square potential well,
given the position equation of the particles by solving the Schrödinger equation and
proposed the Binary Correlation QPSO Algorithm Based on Square Potential Well (BCQSPSO). In this novel algorithm, the intrinsic cognitive link between particles’ experience
information and group sharing information was created by using normal Copula function.
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