Paper Title :Design of a Genetic Algorithm-Based Coupon Advertisement For Electric Vehicles
Author :Junghoon Lee, Yebin Hyun, Youngmi Yun, Jimin Lee, Jin Seok Lee, Gyung-Leen Park
Article Citation :Junghoon Lee ,Yebin Hyun ,Youngmi Yun ,Jimin Lee ,Jin Seok Lee ,Gyung-Leen Park ,
(2017 ) " Design of a Genetic Algorithm-Based Coupon Advertisement For Electric Vehicles " ,
International Journal of Management and Applied Science (IJMAS) ,
pp. 101-102,
Volume-3,Issue-1, Special Issue-2
Abstract : This paper designs a real-time coupon recommendation service for moving vehicles. Not only database tables
are defined but also user interfaces are prototyped for coupon issuers to upload their hot deal information instantaneously.
While driving, a traveler retrieves available coupons filtered first by its location and further by the diversity and proximity
criteria. To cope with the potentially tremendous computation time stemmed from exploding number of feasible
recommendation sets, the genetic algorithm is exploited. Its encoding mechanism specifies coupon categories to which each
item belongs, such as restaurants, cafés, charging stations, and the like. In assessing the quality of a feasible solution, the
fitness function picks one element in each category, if any, one by one and builds subsets consisting of essential elements
and those which are located proximately together. Finally, the set having the maximum economic gain will be provided to
the customer.
Keywords— Smart Tour, Real-time Coupon Recommendation, Category-based Encoding, Genetic algorithm, Diversity and
Proximity Criteria.
Type : Research paper
Published : Volume-3,Issue-1, Special Issue-2
DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-6845
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Copyright: © Institute of Research and Journals
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Published on 2017-03-11 |
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