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Kobayashi, Yasuhiro; Takamoto, Masanori; Nonaka, Hisanori; Yamada, Naoyuki
Proceedings of specialists' meeting on application of artificial intelligence and robotics to nuclear plants1994
Proceedings of specialists' meeting on application of artificial intelligence and robotics to nuclear plants1994
AbstractAbstract
[en] A scheduling system has been developed by integrating symbolic processing functions for constraint handling and modification guidance, with numeric processing functions for schedule optimization and evaluation. The system is composed of an automatic schedule generation module, interactive schedule revision module and schedule evaluation module. The goal of the problem solving is the flattening of the daily resources requirement throughout the scheduling period. The automatic schedule generation module optimizes the initial schedule according to the formulatable portion of requirement description specified in a predicate-like language. A planning engineer refines the near-goal schedule through a knowledge-based interactive optimization process to obtain the goal schedule which fully covers the requirement description, with the interactive schedule revision module and schedule evaluation module. A scheduling system has been implemented on the basis of the proposed problem solving framework and experimentally applied to real-world sized scheduling problems for plant construction. With a result of the overall plant construction scheduling, a section schedule optimization process is described with the emphasis on the symbolic processing functions. (author)
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Japan Atomic Energy Research Inst., Tokyo (Japan); 431 p; 1994; p. 179-190; AIR'94: specialists' meeting on application of artificial intelligence and robotics to nuclear plants; Tokai, Ibaraki (Japan); 30 May - 1 Jun 1994
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