Artificial intelligence in operational research
著者
書誌事項
Artificial intelligence in operational research
Macmillan, 1992
大学図書館所蔵 全21件
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  岩手
  宮城
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  福島
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  福井
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  長野
  岐阜
  静岡
  愛知
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  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
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  韓国
  中国
  タイ
  イギリス
  ドイツ
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注記
Includes bibliographical references
内容説明・目次
内容説明
A collection of articles which are divided into five parts: practical experiences regarding the use of artificial intelligence in operational research, application areas, production planning and scheduling, simulation and methodology.
目次
- Part 1 Practical experiences: operational research participation in artificial intelligence, G.I.Doukidis and R.J.Paul
- a survey of the application of artificial intelligence techniques within the OR society, G.I.Doukidis and R.J.Paul
- from OR to knowledge-based systems - an industrial experience, H.Walters and R.Schtaklef
- a five hour expert system tutorial for management students, P.N.Finley et al
- experiences in developing an expert system for MBA admissions, P.N.Finley and M.King. Part 2 Application areas: combining operational research and artificial intelligence, G.I.Doukidis and R.J.Paul
- an artificial intelligence approach for improving computer communications network topologies, S.Pierre and H.H.Hoang
- multicriteria analysis represented by artificial intelligence techniques, G.Balestra and A.Tsoukias
- using an expert system to monitor an automatic stock control system, J.C.Thorpe et al
- simple expert systems for computer assisted instruction, M.King and L.McAulay
- fuzzy ordinal models for AI-OR, I.B.Turksen
- administering rule development in rule-based expert systems, P.N.Finley et al. Part 3 Production planning and scheduling: operational research approaches to artificial intelligence in production planning and scheduling, R.J.Paul and G.I.Doukidis
- the cheduler's predictive experise - an interdisciplinary perspective, K.N.McKay et al
- a knowledge-based approach to production planning, P.Duchessi and R.M.O'Keefe
- an expert system frameowrk for economic evaluation of machining operation planning, G.Zhang et al
- an integrated framework for generating and revising factory schedules, S.F.Smith et al
- distribution of empty railcars by an expert system - a case study with comparison to OR approaches, A.Beurrier et al
- integration of AI and OR techniques for computer-aided algorithmic design in the vehicle routing domain, J.Y.Potvin et al. Part 4 Simulation: artificial intelligence and expert systems in simulation modeling, R.J.Paul and G.I.Doukidis
- a simulation and learning technique for generating knowledge about manufacturing systems behaviour, H.Pierreval and H.Ralambondrainy
- replenishment at sea, T.M.Williams et al
- knowledge-based design and simulation environment (KBDSE) - foundational concepts and implementation, J.W.Rozenblit et al
- artificial intelligence and decision analysis, F.W.Dewhurst and E.A.Gwinnet
- is there a place in OR for intelligent tutoring systems?, M.Angelides and G.I.Doukidis. (Part contents).
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