Future paths for integer programming and links to artificial intelligence (Q1821034)
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scientific article; zbMATH DE number 3997561
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Future paths for integer programming and links to artificial intelligence |
scientific article; zbMATH DE number 3997561 |
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Future paths for integer programming and links to artificial intelligence (English)
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1986
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Integer programming has benefited from many innovations in models and methods. Some of the promising directions for elaborating these innovations in the future may be viewed from a framework that links the perspectives of artificial intelligence and operations research. To demonstrate this, four key areas are examined: (1) controlled randomization, (2) learning strategies, (3) induced decomposition and (4) tabu search. Each of these is shown to have characteristics that appear usefully relevant to developments on the horizon.
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artificial intelligence
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controlled randomization
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learning strategies
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induced decomposition
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tabu search
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0.8687095
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0.8627807
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0.85737497
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0.85118604
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0.8506798
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0.8494487
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