many studies on precipitation trend have been performed in recent years (e.g., brunetti et al., 2006; rodrigo et al., 2007; turkesh, 1996), but spatial analysis of the sign of trends is rarely carried out (suppiah and hennessy, 1998; de luis et al., 2000). in the present paper we analyze the observational precipitation data from some oldest meteorological stations to investigate the possible sy...

Optimal expansion of medium-voltage power networks is a common issue in electrical distribution planning. Minimizing total cost of the objective function with technical constraints and reliability limits, make it a combinatorial problem which should be solved by optimization algorithms. This paper presents a new hybrid simulated annealing and tabu search algorithm for distribution network expan...

A quick group search optimizer (QGSO) is an intelligent optimization algorithm which has been applied in structural optimal design, including the hinged spatial structural system. The accuracy and convergence rate of QGSO are feasible to deal with a spatial structural system. In this paper, the QGSO algorithm optimization is adopted in seismic research of steel frames with semi-rigid connection...

background:although intellectual disability (id) is a common disability in iran, there is no investigation on the spatial distribution pattern of these patients in national level and the spatial maps for recognition the areas with higher prevalence of ids and local neighborhoods of these regions or effect of socio-demographic factor on this scattering is not still available. this proposition mo...

Guided Local Search (GLS) is a general meta-heuristic that sits on top of local search algorithms and help them escape from local minima. However, GLS is often trapped in a small local area. Estimation of Distribution Algorithm(EDA) is a new evolutionary algorithm in which statistical information are explicitly extracted from the current population and then used for generating new solutions. Th...

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...