Presentation 2000/5/19
A Study of Supply Chain Management Support by means of Evolutionary Computation
TANIGUCHI Ken, TERANO Takao,
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Abstract(in English) In this research we attempt at designing Genetic Programming by means of Logic Programming, so that we will be able to make direct use of the original mechanism of Genetic Programming, and also so that the interpretation and analysis of the genetic operation concerning the generated program would be easier. This paper refers to the possibility of applying this mechanism for supply chain managemant support. In this Genetic Programming we give individuals some rules which correspond to the genes described be Horn clauses. We perform genetic operation depending on each rule. In the process we introduce algorithms similar to the Messy Genetic Algorithms in which the definitions of duplication and deficiency in the tree structure are incorporated.
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Keyword(in English) genetic programming / logic programming / supply chain management
Paper # AI2000-17
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Committee AI
Conference Date 2000/5/19(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Supply Chain Management Support by means of Evolutionary Computation
Sub Title (in English)
Keyword(1) genetic programming
Keyword(2) logic programming
Keyword(3) supply chain management
1st Author's Name TANIGUCHI Ken
1st Author's Affiliation Graduate School of Systems Management, the University of Tsukuba()
2nd Author's Name TERANO Takao
2nd Author's Affiliation Graduate School of Systems Management, the University of Tsukuba
Date 2000/5/19
Paper # AI2000-17
Volume (vol) vol.100
Number (no) 89
Page pp.pp.-
#Pages 5
Date of Issue