R.A. Krohling

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  • R.A. Krohling
  • IEEE Conference on Cybernetics and Intelligent…
  • 2004
In this paper, a novel particle swarm optimization algorithm based on the Gaussian probability distribution is proposed. The standard particle swarm optimization (PSO) algorithm has some parameters that need to be specified before using the algorithm, e.g., the accelerating constants c/sub 1/ and c/sub 2/, the inertia weight w, the maximum velocity V/sub(More)
In this correspondence, an approach based on coevolutionary particle swarm optimization to solve constrained optimization problems formulated as min-max problems is presented. In standard or canonical particle swarm optimization (PSO), a uniform probability distribution is used to generate random numbers for the accelerating coefficients of the local and(More)
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