Titlebook: Advances in Soft Computing; Engineering Design a Rajkumar Roy,Takeshi Furuhashi,Pravir K. Chawdhry Conference proceedings 1999 Springer-Ver

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An Approach to Trust Case Developmente and it is shown how the inference of the rule base with complex rules can be reduced to the inference of a number of rule bases with simple rules. A fuzzy logic based controller is applied to a simple magnetic suspension system. The controller has proportional, integral and derivative separate par

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Introductiond. Conventional computing is considered to be ‘hard’, because it is limited to represent human like ‘vagueness’. Soft computing provides the opportunity to represent ‘ambiguity’ in human thinking with the real life ‘uncertainty’. The concept is proved to be useful for many real life problems. The pr

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Evolving Connectionist and Fuzzy-Connectionist Systems for On-line Adaptive Decision Making and Control systems. This approach is called evolving connectionist systems (ECOS). ECOS evolve through incremental, on-line learning. They can accommodate any new input data, including new features, new classes, etc. New connections and new neurons are created during operation. The ECOS framework is illust

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Recent New Development in Evolutionary Programming with success in recent years. This paper gives an overview of the latest results on evolutionary programming. In particular, the paper will analyse why the recently proposed fast EP performs better than classical EP for most benchmark functions, discuss the scalability of EP, and demonstrate how EP

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Emotional Image Retrieval with Interactive Evolutionary Computation to develop better systems that can match human ability, but more work is still required to be able to match human performance. In order to remedy this shortcoming, several approaches to incorporate human himself into the softcomputing framework have been devised, and among them is interactive evolu

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Using Genetic Algorithms to Encourage Engineering Design Creativity The problem used herein is the design of a stiffened composite panel, combining discrete, integer and continuous variables. The GA process is examined and compared to an accepted view of creative engineering design practices. Examples from the stiffened composite panel problem are used to illustrat

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Abduction Problem in Probabilistic Constraint Logic Programmingramming. The approach is intended for solving real-life logistic problems such as scheduling, manufacturing, planning, considering uncertainty of input information. The Monte-Carlo method used as background engine allows to combine logical inference with probability and straightforward statistical m

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