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Abstract:
From a single cell to the brain and the human society functional dynamical networks play a fundamental role. Such networks, which are a product of natural evolution have properties far exceeding those of rationally designed networks, currently used in industrial manufacturing, transportation logistics or information processing systems. In the review article, we show how evolutionary optimization methods can be used for engineering of efficient artificial functional networks. As example, design of flow networks which are robust against local damage, construction of networks with prescribed dynamics and design of easily controllable oscillator networks are considered.
