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This paper present a new approach, combined pseudo- parallelism evolution technique based on sub-population competition with parent mutation mechanism, for automatic topology optimization of multilayer feedforward neural networks. It allows that two networks with different number of individuals can be crossed to a new valid "child" network. The calculation result of an example shows that...
The genetic particle swarm optimization (GPSO) was derived from the original particle swarm optimization (OPSO), which was incorporated with the genetic reproduction mechanisms, namely crossover and mutation. To combine the characteristics of GPSO and OPSO to solve constrained optimization problems, the paper presents a dual particle swarm optimizations (dual-PSO), where OPSO and GPSO were incorporated,...
For the reliable real time video transmission of overlay network, optimal multicast service nodes (MSNs) should be selected to build highly efficient hierarchical overlay multicast tree. In this paper, a MSNs selection algorithm based on immune evolution is proposed. MSNs are encoded by real-coded mechanism, and the K-medoids clustering distance is used to measure the similarity between MSN and other...
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