Emergent Computing Methods in Engineering Design: Applications of Genetic Algorithms and Neural Networks

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This volume presents a collection of papers addressing aspects of the application of emergent computing paradigms in engineering design. Papers on genetic algorithms and evolutionary computing discuss proposed improvements to computing methodology as well as applications in engineering design. Papers on neural networks study theoretical issues of interpretation as well as their potential use as approximation tools in design and their applications in embedded and fuzzy control systems. Other papers deal with such topics as the combined use of genetic algorithms and neural networks, applications of the simulated annealing approach, problem decomposition techniques, and computer recognition and interpretation of objects. The book shows the tremendous potential of emergent methods in engineering design.