The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Paralleling source code is the most common approach to optimize the performance of Android applications on multi-core processors. However, the problem of selecting a good parallel structure and its parameter tube is still a challenge. This paper proposes the performance optimization method based on selecting the best parallel configuration including the parallel structure and corresponding parameter...
The integration of renewable energy sources, especially wind energy, has been on the rise throughout the power system worldwide. Due to this relatively new introduction, the integration of wind energy is often not optimized. Moreover, owing to the technical constraints and transmission congestion of the power network, much wind energy that could have reached load centers has to be curtailed. Due to...
This paper presents a methodology for optimizing the size of energy storage system (ESS) for maximizing the capture of energy regenerated by a train. Besides, minimization of energy consumption from the substation, in order to obtain a return on investment, has also been explored. A standard structure of rail transit system has been used here for analysis. The optimization process takes into account...
In this paper, the application of genetic algorithm (GA) to energy management of isolated power system is discussed. A method to realize the simultaneous optimization of configuration and operation with emergency generators (EGs) in a hospital is proposed as an example. The simultaneous optimization of configuration and operation needs search of enormous combinations, which is generally considered...
The approaches for the parametric synthesis of the automatic control system (ACS) using the genetic algorithm that performs an approximation of Pareto-optimal solutions set are suggested. As a result, two approaches to multi-criteria optimization of ACS were considered: (1) the optimization problem was considered to be three-criteria for equally important criteria, (2) the optimization problem was...
This paper proposes an automated design and optimization methodology for performance improvement of the MEMS unimorph piezoelectric harvesters based on Genetic Algorithm (GA), which can be conducted with minimum human efforts. In this regard, an analytic equation, which can predict harvested voltage in terms of geometric dimensions, is utilized as an objective function of GA. By using micro-fabrication...
Design of switched reluctance motor (SRM) with emphases on torque ripple suppression and current reduction is researched in this paper. The motor is operated with direct torque control (DTC) to obtain a good torque control performance. Since motor design and motor control are two important aspects of the motor drive system, to achieve a better performance of the whole system, they should not be treated...
Electric machines are optimized to the extent of their magnetic configuration and manufacturability. Thanks to recent advances in development of composite material (SMC), 3-D printing, and programmable magnets, manufacturing capabilities have changed dramatically. Introducing of cloud computing and impressive computational resources has opened new opportunities in virtual prototyping in a multi-physics...
This paper proposes three novel dual-stator flux-modulated permanent magnet (DSFMPM) machine concepts, which are particularly suitable for direct-drive applications with the virtue of their high torque density and low operation speed. The dual-stator configuration can help improve the use of inner cavity space, and achieve higher torque density comparing with the single-stator counterparts. Moreover,...
The waste and trash removal management are the major challenges for cities and to perform in an optimal and efficient way is one of the field of study within Smart City. There are great challenges to overcome when the theme is waste collection. One of them is to define efficient routes in order to reduce the fuel consumption of garbage-trucks, that is the main challenge addressed in this work. The...
In this study, from the problems of graph theory to the Maximum Independent set problem belonging to NP-Hard complexity class, were searched solutions close to optimal quality by using genetic algorithms from artificial intelligence techniques. Unlike most of the studies in the literature, the initial population of the genetic algorithm has not been determined at random and has been created with various...
This paper is about the impact of modeling the temperature distribution of machine designs on the results for respective optimization scenarios. In the past, a lot of machine design optimizations were presented, but just a small share considers modeling of the temperature characteristics. In order to study the impact of including a temperature model, a test scenario was investigated that features...
In this paper a new method to design optimal fractional order proportional-integral-derivative (PIλDμ) controllers for time delay systems is presented. In PIλDμ controllers' parameters are composed of proportionality constant, integral constant, derivative constant, derivative order and integral order, and its design is more complex than that of conventional integer-order proportional-integral-derivative...
In the Team Orienteering Problem (TOP) a set of locations is given, each with a score. The objective is to determine a fixed number of routes (teams), limited in length, that visit some locations and maximize the sum of the collected scores. For the first time we introduce bi-objective TOP which has a second objective, to balance all team's scores for the purpose of obtaining fair teams. So the second...
The self-adaptive sliding mode position controller based on genetic algorithm optimization is designed for the servo motor drive system. Firstly, the self-adaptive sliding mode position controller is researched to estimate the magnitude of the unknown disturbance in the perturbed system. Then, the adaptive genetic algorithm is used to optimize the ideal adaptive parameters and switching parameters...
Wavelet neural network has a slow convergence rate, weak global search capability and easy to search the search results to a minimum, while the genetic algorithm has a high degree of parallelism, randomness, adaptive search and global optimization. The wavelet neural network is transformed and transformed to obtain the discretized wavelet neural network. In this paper, the three-layer wavelet neural...
This paper studied the optimization of the shunt release electromagnet based on Ansoft maxwell finite element simulation. The minimum size as the optimization target by taking into account the electromagnet force and temperature rise limit. In this study the electromagnetic force is calculated using finite element simulation, demand of temperature rise limit is satisfied by limiting the maximum current...
A novel maglev wind yaw system (MWYS) with two groups of suspension windings is proposed to replace the traditional gear-driven yaw system of horizontal-axis wind turbines. In order to overcome the power difference between these two groups of suspension windings which could affect seriously the suspension stability, the windings optimization is carried out to decrease this difference. First, the dynamic...
In this paper, a mobile robot path planning algorithm based on the rearrangement of gene is proposed for genetic algorithm and applied to solve the problem of mobile robot path planning. Firstly, it needs to build the robot path with the multi-plane model, and the genetic algorithm is used to search the optimal or sub optimal path. Then, with a new algorithm for the route of quadratic optimization,...
At present, the detection of mixing uniformity in glass furnace batching system is mainly realized by artificial detection. However, this method is time-consuming and laborious, and there are some risks. For the problem of mixing uniformity detection, the nonlinear relation between the actual weight value and the mixing uniformity is established by the BP neural network, which can predict the mixing...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.