Soft Computing in Engineering

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Neural networks and genetic algorithms draw on the problem-solving strategies of the natural world which differ fundamentally from the mathematically-based computing methods normally used in engineering, and can solve difficult inverse problems based on reduction in disorder -- such as in computational mechanics, earthquake engineering, structural control and engineering design.