Information Technology has rapidly developed in recent years and software systems can play a critical role the symmetry of technology. Regarding field testing, white-box unit-level testing constitutes backbone all other techniques, as be entirely implemented by considering source code each System Under Test (SUT). In mutants used; these are artificially generated faults seeded SUT that behave s...

Abstract— A real coded genetic algorithm is applied for designing infinite impulse response (IIR) filter based on L1approximation error criterion. The proposed real coded genetic algorithm, which is a technique for optimization inspired by genetics and natural evolution method, enhances the search capability and provides a fast convergence for calculating the optimal filter coefficients. The fi...

In this paper, a method based on binary-coded genetic algorithm is proposed to explore an optimization method, for obtaining an optimal elliptical tank. This optimization method enhances the rollover threshold of a tank vehicle, especially under partial filling conditions. Minimizing the overturning moment imposed on the vehicle due to c.g. height of the liquid load, lateral acceleration and ca...

  Improving knowledge worker productivity has been one of the most important tasks of the century. However, we have few measures or management interventions to make such improvement possible, and it is difficult to identify patterns that should be followed by knowledge workers because systems and processes in an organization are often regarded as a death blow to creativity. In this paper, we se...

in this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the shabestar plain, iran. after initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (ga-bp) should be able to reproduce groundwater ...

Local Genetic Algorithms are search procedures designed in order to provide an effective local search. Several Genetic Algorithm models have recently been presented with this aim. In this paper we present a new Binary-coded Local Genetic Algorithm based on a Steady-State Genetic Algorithm with a crowding replacement method. We have compared a Multi-Start Local Search based on the Binary-Coded L...