Temperature Discovery Search

Weighted-HR: An Improved Hierarchical Grid Resource Discovery

Grid computing environments include heterogeneous resources shared by a large number of computers to handle the data and process intensive applications. In these environments, the required resources must be accessible for Grid applications on demand, which makes the resource discovery as a critical service. In recent years, various techniques are proposed to index and discover the Grid resource...

TDS+: Improving Temperature Discovery Search

Temperature Discovery Search (TDS) is a forward search method for computing or approximating the temperature of a combinatorial game. Temperature and mean are important concepts in combinatorial game theory, which can be used to develop efficient algorithms for playing well in a sum of subgames. A new algorithm TDS+ with five enhancements of TDS is developed, which greatly speeds up both exact ...

Development of an Efficient Hybrid Method for Motif Discovery in DNA Sequences

This work presents a hybrid method for motif discovery in DNA sequences. The proposed method called SPSO-Lk, borrows the concept of Chebyshev polynomials and uses the stochastic local search to improve the performance of the basic PSO algorithm as a motif finder. The Chebyshev polynomial concept encourages us to use a linear combination of previously discovered velocities beyond that proposed b...

Monte Carlo Temperature Discovery Search for Combinatorial Games

Explaining the Concept and Models of Serendipity In Information Search Process

Background and Aim: Searching for information is not always a targeted activity; it can also be done involuntarily. The serendipity has the ability to find information randomly and as something happy, something unexpected, or a pleasant surprise. This paper examines and analyzes the concept of serendipity and its models in the process of information searching. Methods: The present study uses a ...