Soft Computing in Engineering

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Exploring the intersection of natural problem-solving strategies with technology, this book delves into how neural networks and genetic algorithms can effectively tackle complex inverse problems. It highlights their application in fields like computational mechanics, earthquake engineering, structural control, and engineering design, showcasing their ability to reduce disorder in innovative ways that contrast with traditional mathematical approaches.