gravitational search algorithm (gsa) is one of the newest swarm based optimization algorithms, which has been inspired by the newtonian laws of gravity and motion. gsa has empirically shown to be an efficient and robust stochastic search algorithm. since introducing gsa a convergence analysis of this algorithm has not yet been developed. this paper introduces the first attempt to a formal conve...

in this work, harmony search meta-heuristic optimization algorithm has been developed for aerodynamic shape optimization problem for the first time. the aerodynamic shape, which has been investigated, is an airfoil with parces method for its shape parameterization. the problem was minimization of aerodynamic objective function using inverse design method and the objective function has been the ...

this paper proposes an efficient network architecture to improve energy consumption in wireless sensor networks (wsn). the proposed architecture uses a mobile data collector to a partitioned network. the mobile data collector moves to center of each logical partition after each decision period. the mobile data collector must declare its new location by packet broadcasting to all sensor nodes. h...

background: rna molecules play many important regulatory, catalytic and structuralroles in the cell, and rna secondary structure prediction with pseudoknots is one themost important problems in biology. an rna pseudoknot is an element of the rna secondary structure in which bases of a single-stranded loop pair with complementary basesoutside the loop. modeling these nested structures (pseudokno...

the objective in this study was to assess the performance of the control algorithms and determine the appropriate controller for aghili irrigation network. to evaluate the efficiency of the control algorithms, the performance criteria of the maximum absolute error, integral absolute error and steady state error were considered during the simulations of a one month period and with regard to the ...

a profile hidden markov model (phmm) is widely used in assigning protein sequences to protein families. in this model, the hidden states only depend on the previous hidden state and observations are independent given hidden states. in other words, in the phmm, only the information of the left side of a hidden state is considered. however, it makes sense that considering the information of the b...

in this paper, an efficient fault-tolerant routing algorithm for mobile ad-hoc networks (manets) is presented. the proposed algorithm increases the network fault-tolerance using natural redundancy of ad-hoc networks. this algorithm is carried out in two stages; 1) the selection of backup nodes 2) the selection of backup route(s). in the first stage, the proposed algorithm chooses nodes with the...

A well-known clustering algorithm is K-means. This algorithm, besides advantages such as high speed and ease of employment, suffers from the problem of local optima. In order to overcome this problem, a lot of studies have been done in clustering. This paper presents a hybrid Extended Cuckoo Optimization Algorithm (ECOA) and K-means (K), which is called ECOA-K. The COA algorithm has advantages ...