Among stability issues, the damping of electromechanical oscillations has been recognized as an important issue in electrical power system operation. This paper investigates the ability of Genetic Algorithm (GA) to design power system stabilizer (PSS) to damp the inter area oscillation. For this the parameter of the PSS are determined by GA using a phased-based objective function. The numerical...

The aim of this paper is computing of the optimum duty cycle and inductance using Genetic Algorithm to minimize tracking error and operating costs by means of a new current reference. Such a current reference is able to share the responsibilities in power quality deterioration between supply and customer, making the filter to deliver a current with a lower harmonic content, which means a lower ...

There are exact and heuristic algorithms for solving the MKP. Solution quality and time complexity are two main differences among exact and heuristic algorithms. Solution quality is a measure of how close we are from the optimal point and time complexity is a measure of the required time to reach such point. The purpose of this paper is to report the solution quality obtained from the evaluatio...

Classification technology is essential for fast retrieval in large database. This paper proposes a combining GA and SVM model to content-based image retrieval. The proposed method is also used to classification similar images from database. Joint HSV histogram and average entropy computed from gray-level co-occurrence matrices in the localized image region is employed as input vectors. Genetic ...

The paper describes an optimization procedure to synchronize traffic signals along an urban road artery. The solution procedure applies first a genetic algorithm and then a hill climbing algorithm for local adjustments. The fitness function is evaluated by means of a traffic model that simulates platoon progression along the links, their combination and possible queuing at nodes. The potential ...

This paper deals with two-processor scheduling for a class of program nets, that are acyclic and SWITCH-less, and of which each node has unity node firing time. Firstly, we introduce a hybrid priority list L∗ that generates optimal schedules for the nets whose AND-nodes possess at most single input edge. Then we extend L∗ to suit for general program nets to give a new priority list L∗∗. Finally...

This study examines a variety of selection strategies typically employed in contemporary genetic algorithms. paper the classification various procedures and their merits downsides. Key Words: Genetic Algorithms, operators, diversity

An efficient assignment and scheduling of tasks is one of the key elements in effective utilization of heterogeneous multiprocessor systems. The task scheduling problem has been proven to be NP-hard is the reason why we used meta-heuristic methods for finding a suboptimal schedule. In this paper we proposed a new approach using TRIZ (specially 40 inventive principles). The basic idea of thi...

Genetic algorithms (GAs) have been broadly studied by a huge amount of researchers and there are many variations developed based on Holland’s simple genetic algorithm (SGA). Inspired by the idea of diploid genotype and dominance mechanisms that broadly exists in nature, we propose a primal-dual genetic algorithm (PDGA). PDGA operates on a pair of chromosomes that are primal-dual to each other i...