Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Hangal et. al. [3] have developed a procedure to check if an instance of the execution of a shared memory multiprocessor program, is consistent with the Total Store Order (TSO) mem...
This paper proposes a new algorithm which promotes well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. This algorithm is b...
The technique of Finite Markov Chain Imbedding (FMCI) is a classical approach to complex combinatorial problems related to sequences. In order to get efficient algorithms, it is k...
This paper presents an application of the Fusion-Fission method to the multi-way graph partitioning problem. The Fusion-Fission method was first designed to solve the normalized c...