Multiobjective optimization of neural network models structure with parallel genetic algorithms

An evolutionary approach for neural network models construction is discussed. The problem statement of neural network structure multiobjective unconstrained optimization is formulated. The multiobjective parallel genetic algorithms are used to solve assigned task.