This paper presents new encoding methods for the binary genetic algorithm (BGA) and new converting methods for the real-coded genetic algorithm (RCGA). These methods are developed for the specific case in which some parameters have to be searched in wide ranges since their actual values are not known. The oversampling effect which occurs at large values in the wide range search are reduced by a...

This paper considers the stabilization of a synchronous machine connected to an infinite bus via a PID. The PID parameters are tuned using hybrid Particle Swarm-Bacteria Foraging Optimization (PSO-BFA). Simulation results are introduced with and without the proposed controller. Also, a comparison study is introduced when using classical PID, only bacteria foraging optimization and when using hy...

Despite Grey Wolf Optimizer's (GWO) superior performance in many areas, stagnation local optima areas may still be a concern. Several significant GWO factors can explored to enhance the of selection classification, with two conflicting concepts considered using or modeling metaheuristic method, exploring search field, and exploiting optimal solutions. Balancing exploration exploitation good man...

Since medical imaging is one of the essential methods for diagnosis and treatment several diseases, characterization calibration systems with low-cost equipment most crucial issue. In this context, tissue-mimicking phantoms have long been used purpose. The advantage that, in addition to desired size internal properties, they can be produced a way that best carries characteristic properties tiss...

blind source separation technique separates mixed signals blindly without any information on the mixing system. in this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. in these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. in order to evalu...

<p class="IEEEAbtract">Different types of power conditioning systems are mostly used with renewable energy systems. As the output solar photovoltaic (PV) is low high voltage converters required. These can be for both standalone and grid tied A gain DC-DC converter proposed which modules to get voltage. This provide a proportional integral derivative (PID) controller maintain coupled modul...

Since the quantity and quality of DNA sequence directly affect accuracy efficiency computation, design is essential for computing. In order to improve reliability computing, there a rich literature targeting at generating sequences with lower similarity that can hybridize melting temperature. However, it not trivial both temperature sequence, since problem under constraints Hamming distance, se...

Economic dispatch problem is an optimization problem where objective function is highly non linear, non-convex, non-differentiable and may have multiple local minima. Therefore, classical optimization methods may not converge or get trapped to any local minima. This paper presents a comparative study of four different evolutionary algorithms i.e. genetic algorithm, bacteria foraging optimizatio...

In this paper, a new Modified Bacterial Foraging Algorithm (MBFA) method is developed to incorporate FACTS devices in optimal power flow (OPF) problem. This method can provide an enhanced economic solution with the use of controllable FACTS devices. Two types of FACTS devices, thyristor controlled series compensators (TCSC) and Static VAR Compensator (SVC) are considered in this method. The bas...

Optimal power flow (OPF) problem has already been attempted as a static optimization problem, by adopting conventional gradient-based methods and more recently, no conventional ones, such as evolutionary algorithms. However, as the loads, generation capacities and network connections in a power system are always in a changing status, these staticoriented methods are of limited use for this issu...