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Titlebook: Exploration and Innovation in Design; Towards a Computatio D. Navinchandra Book 1991 Springer Science+Business Media New York 1991 Layout.a

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https://doi.org/10.1007/BFb0087227ng Optimization Problems is to find some way of assuring non-dominance of generated solutions; a non-dominated solution at one level of abstraction is not guaranteed to remain non-dominated at lower levels of abstraction.
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Assumptions, Shortcomings, and Future Research,ng Optimization Problems is to find some way of assuring non-dominance of generated solutions; a non-dominated solution at one level of abstraction is not guaranteed to remain non-dominated at lower levels of abstraction.
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Introduction and Overview,onal requirements. Designing is a central skill in many human tasks: Architects deal with shape and form to create new buildings, financial planners manipulate money to design profitable portfolios, and mechanical engineers design functional machines with parts such as gears and cams.
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The Design Problem,tation for the criteria that will be used to evaluate generated solutions. The formulation we use is based on the classic labeling problem [Waltz 75]. The labeling idea has been extended to suit the design domain by adding the notions of consistency [Nadel 85a] and optimization [Navinchandra 86a].
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Design Exploration, search, are aimed at considering only those design alternatives that are within the solution space defined by the governing criteria. An exploratory process, on the other hand, tries to generate a wide variety of alternatives from outside the solution space, some of which may unearth new opportunit
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Epilogue,om one’s ability to break the rules, to look beyond the norms and to avoid mind-sets. In fact, many of the ideas about constraint relaxation presented in this book are themselves a result of constraint relaxation! As I recall, the hardest task in applying constraint relaxation to a problem is not th
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The Evaluation of Clinical Predictions: A Method and Initial Applications accurate as the best physicians tested. By allowing measurement of ability to individualize predictions to each patient’s unique characteristics, the accuracy-coefficient approach has potential use in physician assessment. (N Engl J Med 296:1509–1514, 1977)
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