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Research on Urban Tourism Image Positioning:A Case Study of Dengfeng in Henan Province
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作者 Tian Dajiang Liu Jiaming +1 位作者 Li Shanshi Wang Run 《Chinese Journal of Population,Resources and Environment》 2012年第4期35-38,共4页
Aiming at facilitating the research of urban tourism image positioning,this paper summarizes the domestic and abroad theories on urban tourism image and analyzes its significance for cities.With Dengfeng as an example... Aiming at facilitating the research of urban tourism image positioning,this paper summarizes the domestic and abroad theories on urban tourism image and analyzes its significance for cities.With Dengfeng as an example,its goal is to boost development of Dengfeng tourism,which is an excellent tourism city in China.This paper presents its current urban tourism developing situation,positions its tourism image,concludes the plan of image brand and proposes promotional slogans based on the analysis of Dengfeng tourism local features,its core elements and perceptions of visitors. 展开更多
关键词 urban tourism image positioning Dengfeng methods of image consultation
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EXPLORATION/EXPLOITATION TRADEOFF WITH CELL-SHIFT AND HEURISTIC CROSSOVER FOR EVOLUTIONARY ALGORITHMS
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作者 Xinchao ZHAO Junling HAO 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2007年第1期66-74,共9页
In order to tradeoff exploration/exploitation and inspired by cell genetic algorithm a cellshift crossover operator for evolutionary algorithm (EA) is proposed in this paper. The definition domain is divided into n-... In order to tradeoff exploration/exploitation and inspired by cell genetic algorithm a cellshift crossover operator for evolutionary algorithm (EA) is proposed in this paper. The definition domain is divided into n-dimension cubic sub-domains (cell) and each individual locates at an ndimensional cube. Cell-shift crossover first exchanges the cell numbers of the crossover pair if they are in the different cells (exploration) and subsequently shift the first individual from its initial place to the other individual's cell place. If they are already in the same cell heuristic crossover (exploitation) is used. Cell-shift/heuristic crossover adaptively executes exploration/exploitation search with the vary of genetic diversity. The cell-shift EA has excellent performance in terms of efficiency and efficacy on ten usually used optimization benchmarks when comparing with the recent well-known FEP evolutionary algorithm. 展开更多
关键词 Cell-shift crossover evolutionary algorithm exploration/exploitation tradeoff heuristic crossover numerical optimization.
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