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.
Humanoid robot motion imitation is a problem of controlling robot balance with given body motion. It is a simple method to program robot motion because many robot motion editing tools do not consider balance control. Thus, this paper proposes a concept that a RGB-D camera such as Kinect is used to capture human motion and apply the captured motion on a humanoid robot. A genetic algorithm is used to...
The regionalization problem involves aggregating several spatially contiguous basic geographical units into regions while optimizing a defined objective. Equity is one of its most important constraints with the aim to ensure the value of one or several interesting spatial attributes at a certain level and to provide solutions to specific requirements in applications. This paper tackles a new regionalization...
Cognitive Radio (CR) technology aims to reuse the underutilized frequency spectrum by creating new radio access opportunities. Cooperative spectrum sensing (CSS) is proposed to allow multiple secondary users (SUs) to scan the spectrum and verify the existence of primary user (PU). The sensing information of PU is sent by the collaborated SUs to a common fusion center to combine all the data and make...
Human-Computer Interaction gets more natural when the machine can detect human emotions faster and accurate. A lot of research is being carried out in the field of affective computing in order to improve the accuracy with speed. Bio-inspired algorithms for feature extraction and classification stages, has improved accuracy and speed further. In this paper, we propose a hybrid algorithm using CSO (Cat...
A new fuzzy c-means clustering with non-extensive entropy regularization is proposed in this paper. The purpose of entropy regularization is to form approximate solutions of singular problems in the maximum entropy framework. The non-extensive entropy with Gaussian gain is generally used for identifying non-uniform probability densities as in regular texture patterns. It is thus well suited for regularizing...
Locating nulls in the desired directions and as well as steering main beam towards the direction of interest is the most important part of the beamforming concept. Many evolutionary and metaheuristic algorithms are applied to solve these problems. In this paper a circular array is considered. Novel flower pollination algorithm is applied to position nulls with and without beam steering conditions...
The use of nature-inspired optimization strategies based computational intelligence, like Evolutionary Algorithms (EAs), has had a revolutionary impact in various frameworks of electromagnetics since has enabled the design of complex structures (e.g., antenna arrays) with improved performance. The main issues that still remain are related to the high computational costs and the non-efficient sampling...
To find an optimized structure in a Bayesian network is a NP problem. How to get a network with a high score is an important question. In this paper, we discuss some theories about Bayesian network study and propose a hybrid genetic algorithm HGA-BN for Bayesian network optimization. The algorithm is based on genetic algorithm, uses simulated annealing technology to select its children, and uses self-adaptive...
Optimization in noisy environments is regard as a favorite application domains of genetic algorithms. Different methods for reducing the influence of noise are presented and discussed. A new fitness evaluation method is proposed that reevaluates all survival individuals each generation. Compared with re-sampling and population sizing, the new evaluation approach shows higher probability of searching...
This paper presents optimized PI constant for current controller of grid connected inverter with LCL filter. The controller consists of PI controller applied in Synchronous References Frame to control inverter current. To analyze the controller, the system should be modeled. Unfortunately the system is too complex. Therefore, to simplify the system, it is converted into a balanced single-phase model...
Fourth party logistics (4PL) was widely accepted by many companies nowadays. As one of the most important aspects in 4PL, the fourth party logistics routing problems (4PLRP) is very difficult to solve. Many intelligent methods has been used to solve the 4PLRP. Genetic algorithm (GA) is one fo such intelligent methods. Based on previous research, GA can work efficiently on small-scale 4PLRP. However,...
Load identification is an important issue in power system representations to ensure that simulations will reproduce the dynamic response of a system during a disturbance. For a load model to be accurate, its parameter must be appropriately estimated by a parameter fitness algorithm. The success of the estimation depends mainly on the availability of a good initial parameter guess. If it is not available,...
Distribution system reconfiguration (DSR) is a multi-objective, non-linear problem. This paper demonstrates the performance and effectiveness of a new, fast, non-dominated sorting genetic algorithm (FNSGA) for the purpose of solving the DSR problem by satisfying all objectives simultaneously with a relatively small number of generations and relatively short computation time. The objectives of the...
This paper investigates the stability control of a class of two-link flexible manipulators subject to non-minimum phase problem and complex dynamics and thus a optimized continuous nonsingular terminal sliding mode (NTSM) control scheme is proposed. Through system decomposition into two subsystems by output redefinition, i.e. An input-output subsystem and a zero dynamic subsystem, the problem of non-minimum...
Open source Development Model Algorithm (ODMA) is one of the recently proposed heuristic algorithms that is inspired by open source software development mechanism and community's behaviors. The superior performance of this algorithm has been proven among the other most well-known algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO). However, the original version of this...
Simultaneous pose and correspondence estimation problem is used to determine the pose of a 3D object from a single 2D image when corresponding relation is unknown between 3D object points and 2D image points. The problem arises in many areas of computer vision and some algorithms have been presented. However, all the state-of-art algorithms rely on appropriate initialization and the correct solution...
The purpose of this study is the characterization of microscopic parameters of piezoceramic materials, such as spontaneous polarization and spontaneous strain. In previous works, a model has been developed by bridging characteristics of microscopic domain distribution into the macroscopic behavior. It reproduces longitudinal strain and electrical displacement as a function of uniaxial electrical loading,...
Community structure is one of the basic characteristics of a complex network, which plays an important role in the function of a network. According to the premature convergence of traditional genetic algorithm on community detection, this paper proposes a new coding scheme based on the attribute partition of edges. The new strategy is named as NGACD. Each nonzero gene in the NGACD represents the attribute...
Power Line Carrier communication is a fast-developing technology and finds many applications, such as automatic meter-reading system. However, as the one-hop communication distance is limited due to the channel attenuation and strong line noises, relay technology is necessary for PLC networking. Among all the relay methods, Ant Colony Algorithm is a promising one but still with some shortcomings,...
Genetic algorithm has strong global search ability and robustness, but can not use the feedback of system and easy to do a lot of unnecessary redundancy iteration in the latter, resulting in the decline of convergence rate. Ant colony algorithm has the good characteristic of feedback, but due to lacking of initial pheromone, solving speed is slow. A method of adaptive dynamic integration is presented...
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.