coverage improvement is one of the main problems in wireless sensor networks. given a finite number of sensors, improvement of the sensor deployment will provide sufficient sensor coverage and save cost of sensors for locating in grid points. for achieving good coverage, the sensors should be placed in adequate places. this paper uses the genetic and learning automata as intelligent methods for...

wireless sensor networks, due to the characteristics of sensors such as wireless communication channels, the lack of infrastructure and targeted threats, are very vulnerable to the various attacks. routing attacks on the networks, where a malicious node from sending data to the base station is perceived. in this article, a method that can be used to transfer the data securely to prevent attacks...

various synthesis methods have been proposed in the literature for reversible and quantum logic circuits. however, there are few algorithms to optimize an existing circuit with multiple constraints simultaneously. in this paper, some heuristics in genetic algorithms (ga) to optimize a given circuit in terms of quantum cost, number of gates, location of garbage outputs, and delay, are proposed. ...

the finite element method (fem) is one of advanced methods in modeling of solid mechanics used in the design and analyzing of prosthesis in the human body. one of the important factors in designing a femur (the linkage between basin and knee) which is under complicated stresses is to minimize the amount of the stress in the components of the prosthesis due to the body weight. in this research t...

In this study a supply chain network design model has been developed considering both forward and reverse flows through the supply chain. Total Cost, environmental factors such as CO2 emission, and social factors such as employment and fairness in providing job opportunities are considered in three separate objective functions. The model seeks to optimize the facility location proble...

The thermal aware floor planning for VLSIs and placement optimization of electronic components on printed circuit boards (PCBs) using genetic algorithms (GAs) are well studied. However, there no technical paper component considering the heat smartglasses. In this paper, we propose a method optimizing equipped smartglasses elitist non-dominated sorting algorithm (NSGA-II) resistance circuit. Ele...

Lot streaming, is an effective technique to increase production efficiency in a productive system by splitting job into several smaller parts overlap operations between successive machines multi-stage system. In this paper, hybrid flow shop scheduling problem with lot learning effect and buffer's limitation considered. A bi-objective mathematical model presented for minimizing the total tardine...

the bankruptcy prediction models have long been proposedas a key subject in finance. the present study, therefore, makes aneffort to examine the corporate bankruptcy prediction through employmentof the genetic algorithm model. furthermore, it attempts to evaluatethe strategies to overcome the drawbacks of ordinary methods forbankruptcy prediction through application of genetic algorithms. thesa...