Simulation and Analysis of Genetic Algorithm Based on FPGA

Exergetic, Exergoeconomic and Exergoenvironmental Multi-Objective Genetic Algorithm Optimization of Qeshm Power and Water Cogeneration Plant

In this study, optimization of Qeshm power and water desalting cogeneration plant has been investigated. The objective functions are related to maximizing exergetic efficiency and minimization of exergoeconomic and exergoenvironmental parameters. Also, the integration of RO desalination with the existing plant has been evaluated based on these analyses. This plant includes two MAPNA 25 MW gas t...

FPGA-based of Thermogram Enhancement Algorithm for Non-destructive Thermal Characterization

New Ant Colony Algorithm Method based on Mutation for FPGA Placement Problem

Many real world problems can be modelled as an optimization problem. Evolutionary algorithms are used to solve these problems. Ant colony algorithm is a class of evolutionary algorithms that have been inspired of some specific ants looking for food in the nature. These ants leave trail pheromone on the ground to mark good ways that can be followed by other members of the group. Ant colony optim...

Generation of Three-Phase PWM Inverter using Xilinx FPGA and its Application for Utility Connected PV System (RESEARCH NOTE)

Analysis and practical implementation of the regular symmetric sampled three-phase PWM inverter waveform has been presented in this paper. It is digitally implemented on a Xilinx field programmable gate array FPGA, and the essential considerations involved in the feasibility of using a Xilinx XC4008E software-based to generate PWM has been discussed. All the necessary Xilinx hardware/software t...

Implementation of Face Recognition Algorithm on Fields Programmable Gate Array Card

The evolution of today's application technologies requires a certain level of robustness, reliability and ease of integration. We choose the Fields Programmable Gate Array (FPGA) hardware description language to implement the facial recognition algorithm based on "Eigen faces" using Principal Component Analysis. In this paper, we first present an overview of the PCA used for facial recognition,...

Parameters Identification of an Experimental Vision-based Target Tracker Robot Using Genetic Algorithm

In this paper, the uncertain dynamic parameters of an experimental target tracker robot are identified through the application of genetic algorithm. The considered serial robot is a two-degree-of-freedom dynamic system with two revolute joints in which damping coefficients and inertia terms are uncertain. First, dynamic equations governing the robot system are extracted and then, simulated nume...