The Weapon-Target Assignment (WTA) problem is one of the most important problems of military applications of operations research. The objective of the WTA problem is to find proper assignments of weapons to targets which minimize the expected damage of defensive side. The WTA problem is known to be NP-complete. In this paper, hybrid Nested Partitions (NP) method is proposed to solve WTA problem...

This paper is concerned with the application of hybrid intelligent control techniques for improving the performance of ship steering. Hybrid intelligent controllers can make full use of the advantages of a variety of intelligent algorithms. In this paper, optimization with genetic algorithms is used in off-line learning periods and reinforcement learning and neural fuzzy control are integrated ...

Two factors have affected the work of modem data analysts more than any others. First, the size of machine-readable data sets has increased, especially during the last decade or so. Second, computational methods and tools are being developed that enhance traditional statistical analysis. These two developments have created a new range of problems and challenges for analysts, as well as new oppo...

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...

In this paper, an intelligent control strategy based on combination of the “flatness based control technique” and the “perturbation and observation (P&O) MPPT algorithm” is developed and investigated to control a hybrid electric energy source (HEPS). This EHPS is composed of a fuel cell system (FC) and a solar panel (SP), as the main source and a supercapacitor bank (SC), as the auxiliary sourc...

In this paper, we propose an hybrid clustering based classification algorithm based on mean approach to effectively classify to mine the ordered sequences (paths) from weblog data in order to perform social network analysis. In the system proposed in this work for social pattern analysis, the sequences of human activities are typically analyzed by switching behaviors, which are likely to produc...

24 25 26 27 28 29 30 31 32 33 34 35 36 Article history: Received 9 June 2009 Received in revised form 5 November 2009 Accepted 28 December 2009 Available online xxxx