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This paper presents the self-tuning PID parameters by applying Artificial intelligence(AI) algorithm for tuning the Brush DC motor. This proposed approach combines with two algorithms, so called the NN-GA, which are the Neural Network (NN) and the Genetic algorithm(GA). To show the effectiveness of the designed approach, the simulation results are then given. In addition, the simulation results are...
In this paper we presented an approach for systems identification using artificial intelligence. To demonstrate its practical applicability, we tested it in the medical field in the interpretation of electrophoresis tests, but this application can be implemented in different areas of interest e.g. in business, management, advertising, etc. Extensive research has been performed exploiting the robust...
This paper presents a methodology based on genetic Algorithms (GA) to solve the problem of optimal participation in multiple electricity markets. With the emergence of new requirements for electrical power markets, it has become fundamental to develop tools to aid in decision making, understanding the functioning of markets and forecast iterations that occur between the different entities in the market...
Artificial immune system (AIS) is considered as an adaptive computational intelligence method that could be used for detecting and preventing current computer network threats. AIS generates Antibodies (self) competent in recognizing Antigen (non-self), which is considered as an anomaly technique. This paper aims to develop artificial immune system (AIS) that consists of two levels. Level one is developed...
Searching is a major activity in artificial Intelligence (AI). Evolutionary search and metaheuristic algorithms form major part of artificial intelligence that has been used to find optimal solutions to a variety of problems. They have been applied in various problems of electrical power systems like economic load dispatch and relay coordination. In this work their application to relay coordination...
Despite the tremendous attention Unmanned Aerial Vehicles (UAVs) have received in recent years for applications in transportation, surveillance, agriculture, and search and rescue, as well as their possible enormous economic impact, UAVs are still banned from fully autonomous commercial flights. One of the main reasons for this is the safety of the flight. Traditionally, pilots control the aircraft...
Software Reliability is an important feature of software quality, like other quality attribute as functionality, usability, performance, serviceability, maintainability, documentation etc. This Software reliability optimization is very important in software development field. Lots of software reliability models have been specified in last few years. This paper reviews the different Evolutionary algorithms...
An intelligent hybrid Taguchi-genetic algorithm (IHTGA) is used to optimize bearing offsets and shaft alignment in a marine vessel propulsion system. The objectives are to minimize normal shaft stress and shear force. The constraints are permissible reaction force, bearing stress, shear force, and bending moment in the shaft thrust flange under cold and hot operating conditions. Accurate alignment...
Feature subset selection is an important research branch in the field of pattern recognition. Due to the traditional feature selection algorithms do not take into account the feature updating case, the paper analyzes the relationship between dataset and features, proposes a new feature activity measurement that is used to determine the influence among different features on some certain conditions...
Carpooling is a means of vehicle sharing by which drivers share their cars with one or more riders whose travel itineraries are similar to their own. As such, carpooling can be an effective way to ease traffic congestion. In this paper, we first present an intelligent carpool system based on the service-oriented architecture. Second, we propose a fuzzy-controlled genetic-based carpool algorithm by...
Turntables continue to be manufactured and sold today, although in small numbers. Some audiophiles still prefer the sound of vinyl records over that of digital music sources and are ready to pay for high end gramophone systems. We pre-sent here a tonearm constructed so that its rotating cartridge is always nearly tan-gent to the record's groove the stylus is reading thus greatly reducing the anti-skating...
This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and Genetic Algorithms (GA) and its application on a traffic light system. FLCs have been widely used in many applications in diverse areas, such as control system, pattern recognition, signal processing and forecasting. They are, essentially, ruled-based systems, in which the definition of these rules and fuzzy membership...
This paper proposed a concept of the multi-agent neural network, where neurons are agents of the multi-agent system. Each agent has a decision-making system that rests upon the system of production rules. A multi-chromosome genetic algorithm was developed. This algorithm allows to train a multi-agent neural network simultaneously by several parameter classes of the target function. Efficiency of the...
The dynamic economic dispatch (DED) problem is an extension of the conventional static load dispatch problem in the context of electrical power generation. In this paper, issues related to the implementation of the several soft computing techniques are highlighted for a successful application to solve dynamic economic dispatch (DED) problem, which is a constrained optimization problem in power systems...
Genetic Algorithms (GAs) are gradient-free optimization algorithms that use a performance criterion for evaluation and a population of possible solutions to the search for a global optimum [2]. They are capable of handling complex and irregular solution spaces, and have been applied to various difficult problems. Inspired by the biological process of Darwinism evolution where selection, mutation and...
Gomoku, also known as Gobang or five-in-a-row, is a popular two-player strategical board game. Given a squared 15×15 board, two players compete to first obtain an unbroken row of five pieces horizontally, vertically or diagonally. Classic methods for solving such games are based on game-tree theory, for example the minimax tree. These methods have a clear disadvantage: the depth of search becomes...
Efficient elevator group control is an important issue for vertical transportation in high-rise buildings. From the engineering design perspective, regulation of average waiting time and journey time while considering energy consumption is an optimization problem. Alternatively to the conventional algorithms for scheduling and dispatching cars to hall calls, intelligent systems based methods have...
In order to improve the forecasting accuracy for clean energy consumption with inherently high complexity, a hybrid learning paradigm integrating genetic algorithm (GA) and least squares support vector regression (LSSVR), i.e., GA-LSSVR model, is formulated in this study. In this learning paradigm, LSSVR, as a powerful artificial intelligence tool, is employed to forecast clean energy consumption,...
Nowadays there is a vast amount of IT tools specialized in vector graphics. The data generated by those tools could be used to describe the path of industrial manipulators as a set of vectors. The main problem is that the sequence/direction of those vectors is not meant to be executed by a robot and attempting to do it, would result in inefficient cycle times of the robot. Therefore it is necessary...
This work involves learning the use schedule of an academic building in order to intelligently control various aspects of the environment. Motion sensors are used to monitor and record the activity of each of the rooms in the building. After a basic preprocessing of the data, a Cyclic Genetic Algorithm (CGA) is used to pick out the patterns of use of the rooms. The CGA is seen as ideal for such a...
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