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the scheduling problems are the non-polynomial problems-hard (np-hard), is to solve it, and meta-heuristic innovative method compared with the exact method require less time and memory.in this research, developed imperialistic competitive algorithm used to solving the single-mode resource-constrained project scheduling problem.also the basic feasible solution algorithm used in order to increase...

with the increase in population and consequent increasing needs of society, land use planning is of particular importance. land use planning due to being involved with several conflicting aims, multi- objective evolutionary algorithm would be a useful tool to solve land use planning. but use of these algorithms should be examined according to the type of issues. in the study, addition to introd...

This study proposes an intelligent algorithm that can realize information fusion in reference to the relative research achievements in brain cognitive theory and innovative computation. This algorithm treats knowledge as core and information fusion as a knowledge-based innovative thinking process. Furthermore, the five key parts of this algorithm including information sense and perception, memo...

An innovative navigation algorithm, which utilizes a system of fixed pseudolites is derived, analyzed, discussed, and simulated in this paper. Although this algorithm uses the same Doppler measurements as a conventional least square algorithm LSA (which produces user velocity and ION NTM 2001, 22-24 January 2001, Long Beach, CA 61 user clock drift) or Kalman based filter (which obtains user pos...

This paper discusses the problem of using data compression for encryption. We first propose an algorithm for breaking a prefix-coded file by enumeration. Based on the algorithm, we respectively analyze the complexity of breaking Huffman codes and Shannon-Fano-Elias codes under the assumption that the cryptanalyst knows the code construction rule and the probability mass function of the source. ...

The role of data clustering is inevitable in many text processing activities .Many proceedings are going on in this area since it has wider applications. Sentence clustering is a challenging task when compared with other data clustering, because a sentence is able to represent same ideas in different ways. For E.g. some people see a glass as half empty and some others see half full. Due to this...