Particle swarm optimization (PSO) is a technique for finding approximate solutions to difficult or impossible numeric optimization problems. In particular, PSO can be used to train a neural network.
The eigenvalue complementarity problem (EiCP) represents a class of mathematical challenges where the determination of eigenvalues and corresponding eigenvectors is constrained by complementarity ...
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