نتایج جستجو برای: iteratedlocal search
تعداد نتایج: 294701 فیلتر نتایج به سال:
Purpose: The Objective pursued by the current research is to evaluate the Qom Islamic Sciences software packages in the fields of Quran, Hadith, and fiqh & ahkam. The focus is on their search capability features. These features were derived from English & Persian authoritative sources. Methodology: The method used in this research is based on the Evaluation Methodology. The evaluation was condu...
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This paper considers the search problem, introduced by Srivastava cite{Sr}. This is a model discrimination problem. In the context of search linear models, discrimination ability of search designs has been studied by several researchers. Some criteria have been developed to measure this capability, however, they are restricted in a sense of being able to work for searching only one possibl...
Purpose: Traditionally, there have many metrics for evaluating the search engine, nevertheless various researchers’ proposed new metrics in recent years. Aware of this new metrics is essential to conduct research on evaluation of the search engine field. So, the purpose of this study was to provide an analysis of important and new metrics for evaluating the search engines. Methodology: This is ...
In presence of multiple objectives to be optimized in Search-Based Software Engineering (SBSE), Pareto search has been commonly adopted. It searches for a good approximation the problem’s Pareto-optimal solutions, from which stakeholders choose most preferred solution according their preferences. However, when clear preferences (e.g., set weights that reflect relative importance between objecti...
We introduce and solve a new class of “downward-recursive” static portfolio choice problems. An individual simultaneously chooses among ranked stochastic options, and each choice is costly. In the motivational application, just one may be exercised from those that succeed. This often emerges in practice, such as when a student applies to many colleges. We show that a greedy algorithm finds the ...
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