文章基本信息

标题：A Co-joint Deterministic Search Direction Sampling Procedure with Probabilistic Soft Approach
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作者：Ismail bin Mohd. ; GOH KHANG Wen ; TAN EE LING 等
期刊名称：Statistika
印刷版ISSN：1411-5891
出版年度：2009
卷号：9
期号：2
页码：99-107
DOI：10.29313/jstat.v9i2.999
出版社：Universitas Islam Bandung
摘要：Since hard continuous optimization models contain more than one solution and even continuum solution, it is impossible to seek all the solution by using the existent optimization methods. Therefore, in this paper we introduce a co-joint deterministic and probabilistic approach which modifies a soft approach for solving hard continuous optimization models. An algorithm of co-joint approach and several numerical experiments have been presented in this paper. The special numerical test results have shown that the co-joint approach is more effective than soft approach algorithm. Fortunately, we have found that the co-joint algorithm can be used to determine whether the optimization model is hard continuous optimization models or not.
关键词：Hard continuous optimization;Deterministic and Probabilistic Approach;Steepest Descent Method.