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CUHK electronic theses & dissertations collection
No full textby Wen-Liang Zhou.Thesis (Ph.D.)--Chinese University of Hong Kong, 1996.Includes bibliographical references (p. 125-144).Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.Mode of access: World Wide Web
Seed disperser ant algorithm for optimization / Chang Wen Liang
Get PDFThe Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. The genotype of every ant is represented in binary form as the variables. These binary variables are used to locally search for optimum solution. SDAA is developed using the concept of male ants performing nuptial flights to generate new superior colonies. The new colonies produce better male ants that repeat the nuptial flight cycle in following generation. New young queens are produced by the colony that migrates to establish new colonies after local optimum solution reached to start new local search. Nuptial flight and new young queens’ production aid in enhanced search exploitation and exploration respectively. This diversifies the search for global optimum. The classical benchmark problems and composite benchmark functions from Congress on Evolutionary Computation (CEC) 2005 special session is used for validate SDAA. Engineering optimization has become important in design problems to reduce error and faulty production as many constrained condition should be taken in to account before manufacturing. Also, data clustering has become popular in data mining in recent time due to data explosion. In this research, we applied SDAA to solve the constrained engineering problems and introduce an efficient data clustering algorithm which is hybrid of K-means and SDAA. The optimal results obtained for constrained engineering problems as well as data clustering are very promising in terms of quality of solutions and convergence speed of the algorithm
Intra-annual variability of distribution patterns and fluxes of dissolved trace metals in a subtropical estuary (Danshuei River, Taiwan)
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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