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  • 1
    Publication Date: 2000-09-29
    Print ISSN: 0177-0667
    Electronic ISSN: 1435-5663
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
    Published by Springer
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  • 2
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Chemometrics and Intelligent Laboratory Systems 21 (1993), S. 267-273 
    ISSN: 0169-7439
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Engineering with computers 16 (2000), S. 81-95 
    ISSN: 1435-5663
    Keywords: Keywords. Constraint satisfaction; Discrete values; Dynamic CSP's; Knowledge representation; Local consistency; Reasoning; Search; Solution spaces; Structures
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
    Notes: Abstract. Constraints provide declarative descriptions of important requirements related to engineering projects. Most existing algorithms for constraint satisfaction require input consisting of binary constraints on variables that have discrete values. Such restrictions limit their use in engineering since complex constraints, involving several variables that have discrete and numeric values, are common. This paper provides an approach for decision support through approximating solution spaces that are defined by constraints. Our algorithm is not limited to a specific type of constraint, but handles numeric and discrete variables in the same frame-work. Since a new type of local consistency narrows down the search space effectively, full-scale engineering tasks, such as designs involving hundreds of variables, are accommodated without excessive computational complexity. The approach is demonstrated for selection of appropriate wind bracing for single story steel-framed buildings. Results may be used for input into other tools containing algorithms such as those offering (i) higher levels of consistency, (ii) optimally directed point-solution search, and (iii) simulation behaviour. Finally, extension to dynamic constraint satisfaction using different combinations of activation conditions is straightforward. It is expected that this approach will improve the performance of many existing and future computeraided engineering tools.
    Type of Medium: Electronic Resource
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