2013 Fiscal Year Final Research Report
An analysis of retail store preferences using genetic algorithm
| Project/Area Number |
24656358
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
Town planning/Architectural planning
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| Research Institution | Shikoku University |
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Principal Investigator |
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Keywords | 都市・地域計画 / 買物行動 / 遺伝的アルゴリズム / マイクロシミュレーション |
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| Research Abstract |
In this study, we have clarified factors to shop selection of consumers using genetic algorithm. Genetic algorithm is one kind of artificial intelligence methods and it is inspired by the evolution of a biological species. It is considered that the method can derive approximate solutions.
We simulated the shopping behavior of households using micro simulation. The simulation model has the shopping consciousness parameters. Genetic algorithm is used for estimating the parameters. The result of the simulation has a high fitness to real data.
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Research Products
(3 results)
