WSN has the potentiality to join the physical world with the virtual world by creating a network of sensor nodes. Here, sensor nodes are usually battery-operated devices, and hence energy reduction of sensor nodes is a major design issue. To extend the network‘s lifetime, minimization of energy consumption should be used. In cluster-based routing, cluster heads shape a wireless stamina to the s...

In practical situations, distribution network loads are the mixtures of residential, industrial, and commercial types. This paper presents a hybrid optimization algorithm for the optimal placement of shunt capacitor banks in radial distribution networks in the presence of different voltage-dependent load models. The algorithm is based on the combination of Genetic Algorithm (GA) and Binary Part...

Abstract: The Rotary Inverted Pendulum (RIP) system is a significant classical problem of control engineering which has been investigated in the past decades. This study presents an optimum InputOutput Feedback Linearization (IOFL) cascade controller utilized Genetic Algorithm (GA). Due to the non-minimum phase behavior of the system, IOFL controller leads to unstable internal dynamics. Therefo...

Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources. The various versions of the ABC algorithm have been widely used to solve continuous and discrete optimization problems in different fields. In this paper a new binary version of the ABC algorithm inspired by quantum computing, c...

In this paper a new genetic algorithm called the Breeder Genetic Al gorithm BGA is introduced The BGA is based on arti cial selection similar to that used by human breeders A predictive model for the BGA is presented which is derived from quantitative genetics The model is used to predict the behavior of the BGA for simple test functions Di erent mutation schemes are compared by computing the e...

In the present work, a dynamic stochastic method is proposed and used for synthesis of uniform linear antenna arrays. The combines classical invasive weeds (IWO) mutation process, which makes it robust, simple shows flexibility to be adapted. IWO applies process in calculation standard deviation during spatial dispersal produced seeds while keeping mean at parent plants. if special conditions w...

An efficient formulation for the robust shape optimization of aerodynamic objects is introduced in this paper. The formulation has three essential features. First, an Euler solver based on a second-order Godunov scheme is used for the flow calculations. Second, a genetic algorithm with binary number encoding is implemented for the optimization procedure. The third ingredient of the procedure is...

The movement of water into the soil under specific conditions is called infiltration. The study of infiltration is one of the most important necessities in irrigation and drainage engineering. Two popular infiltration models called Kostiakov and Modified Kostiakov, which are largely used in the fields, are considered for analysis. The problem is modeled as a least sum of squares of the differen...

this study emphasized the ability of genetic algorithm and cellular automate to simulate urban land use changes by integrating adaptive model. the most important part of modeling is to define transition rules.  in this research, a cellular automata model in dinamica ego software was used coupled with genetic algorithm. according to disability of the software for manipulating large number of var...

In this paper, a normalized oating point representation has been used for making it be possible to design biotechnical genetic operators as well as to apply some genetic operators like inversion. To improve the adaptation of evolutionary algorithms and avoid the biases which may exist in some genetic operators, we have designed and applied several kinds of genetic operators with some probabilit...