Managing Information Complexity in a Supply Chain Model by Agent-Based Genetic Programming
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- @InProceedings{Taniguchi:2001:CEF,
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author = "Ken Taniguchi and Setsuya Kurahashi and Takao Terano",
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title = "Managing Information Complexity in a Supply Chain
Model by Agent-Based Genetic Programming",
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booktitle = "7th International Conference of Society of
Computational Economics",
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year = "2001",
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address = "Yale",
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month = "28-29 " # jun,
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organisation = "Society for Computational Economics",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://ideas.repec.org/p/sce/scecf1/238.html",
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URL = "http://econpapers.repec.org/paper/scescecf1/238.htm",
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abstract = "We propose agent-based formulation of a Supply Chain
Management (SCM) system for manufacturing firms. We
model each firm as an intelligent agent, which
communicates each other through the blackboard
architecture in distributed artificial intelligence. To
overcome the issues of conventional SCM systems, we
employ the concept of information entropy, which
represents the complexity of the purchase, sales, and
inventory activities of each firm. Based on the idea,
we implement an agent-based simulator to learn `good'
decisions via genetic programming in a logic
programming environment. From intensive experiments,
our simulator have shown good performance against the
dynamic environmental changes.",
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notes = "CEF 2001 number 238. See also
\cite{taniguchi:2001:micscmagp}",
- }
Genetic Programming entries for
Ken Taniguchi
Setsuya Kurahashi
Takao Terano
Citations