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.
Crossover methods are important keys to the success of genetic algorithms. However, traditional crossover methods fail to solve a trap problem, which is a difficult benchmark problem designed to deceive genetic algorithms to favor all-zero bits, while the actual solution is all-one bits. The Bayesian optimization algorithm (BOA) is the most famous algorithm that can solve the trap problem; however,...
The process of modeling of a real system usually implies an iterative approach where an initial model is incrementally modified in order to increase its accuracy with regard to available experimental data. Many approaches are discussed in the literature, among which some are based on Artificial Intelligence techniques. Continuous improvement in the mathematical model adequacy is very similar with...
Nowadays, the synthesis and characterization of novel zeolites is a significant area in which chemical engineers are working on. The zeolite structure determination is crucial for designing and understanding these materials so as to use them as adsorbents and catalysts. Modern diffraction techniques can normally obtain the cell parameters of zeolites, but they are not capable of solving the location...
As an initial step towards developing a portable diagnostic system for skin cancer, an optimum fourth order Debye model for the human skin at millimetre-wave band is presented. The model is obtained using heuristic genetic algorithm, which enables the precise estimation of the dispersive nature of the human skin tissue when irradiated at a high frequency band of 10 GHz to 45 GHz. The precise derivation...
Recently, more neuroscience researches focus on the role of dendritic structure during the neural computation. Inspired by the specified topologies of numerous dendritic trees, we proposed a single neural model with a particular dendritic structure. The dendrites are composed of several branches, and these branches correspond to three distributions in coordinate, which are used to classify the training...
Using a new model order reduction based on frequency selection and optimal genetic algorithm, a very low order speech model is presented. In our approach, the modeling process starts with a full-order classical all poles model obtained by some known methods. The original model is then reduced using a new proposed approach based on the genetic algorithms and the full order speech production system...
In the wide growth of information technology, security has one challenging phase for computer and networks. Attacks on the web are increasing day-by-day. Intrusion detection system is used to detect several types of malicious attacks that can compromise the security of a computer system. Data mining techniques are used to monitor and analyze large amount of network data & classify these network...
An imbalanced or inappropriate dataset can have a negative influence in classification model training. In this paper we present an evolutionary method that effectively weights or samples the tuples from the training dataset and tries to minimize the negative effects from innaprotirate datasets. The genetic algorithm with genotype of real numbers is used to evolve the weights or occurrence number for...
In the paper the novel feature selection method, using wrapper model and ensemble approach, is presented. In the proposed method features are selected dynamically, i.e. separately for each classified object. First, a set of identical one-feature classifiers using different single feature is created and next the ensemble of features (classifiers) is selected as a solution of optimization problem using...
The paper presents a novel hybrid searching COMBI GMDH-GA algorithm with GA used to discover model of optimal structure quickly because of avoiding exhaustive search. The obtained experimental results demonstrate that this algorithm performs well when solving inductive modelling tasks, both artificial and real-world.
Driver behavior modeling plays a significant role in the development of Advanced Driver Assistance Systems (ADAS) for assisting drivers in different driving scenarios. One of the scenarios where high numbers of traffic accidents occur is road intersection. It is vital to develop driver behavior models near intersections in order for the ADAS to plan a proper action in avoiding accidents. In this paper,...
World Wide Web is a dynamic source of information which is expanding its content at a staggering rate. Individual search engines are not able to handle the exponential nature of web. Hence meta-search engines are used to solve the problem of low web space information coverage rate of individual search engines. A meta-search engine is a kind of search tool that dynamically dispatches user query to...
Efficient planning of hospital resources and services are the prime concern of any hospital administration in terms of patient care. Predicting Average Length of Stay of patient may help in strategic decision making and effective planning of hospital resources. If the length of stay is decided corresponding to disease treatment patient can plan their hospital days priorly in an efficient manner. In...
Codelet model is a fine-grained, event-driven hybrid parallel model inspired by dataflow, whose performance depends on the scheduling policy. How to design optimal codelet scheduling policy based on the features of tasks is important to the codelet-based system performance. In this paper, we propose an adaptive codelet scheduling policy by combing "pure" genetic algorithm for tasks with...
Accurate modelling of photovoltaic (PV) modules is necessary to understand PV cell operation and to develop maximum power point tracking (MPPT) algorithm for efficient operation of the PV system. A variety of models are proposed in the literature that use a current source, diodes and resistors to represent a PV module. The parameter values involved in the model need to be accurately estimated to improve...
Vehicle identification is one of the frequently studied problems in video surveillance. Commonly, identifying an unknown vehicle object requires a large amount of training instances. Unfortunately, in the large parking scenario, the cost may be prohibitively expensive because of the finitely waiting time from the car owners. In this paper, we show that it is possible to identify a registered vehicle...
In this paper, the optimization of a genetic algorithm for the road traffic network division using the graph coarsening is discussed. Since each road traffic network is basically a graph, the main idea is to coarsen a large road traffic network to obtain a smaller (i.e., coarser) network. This smaller road traffic network can be then divided into required number of sub-networks using our division...
This paper proposes a computational model along with an algorithm for a new problem in computer-aided design of systems. The new problem stems from a so-called rapid prototyping of system (RPS) technology the authors developed elsewhere before. The RPS has learned from traditional rapid prototyping technique which is in essence to construct a component from the material (liquid, sheet, etc.); but...
The static evaluation system is the core in the research of computer games. It remains to be a pending problem that complicated draughts rules and specific decision-making methods are to be given accurate digitized description. A static evaluation system contains some parameters to be solved and optimized which determine the evaluating accuracy and then affect the performance of the whole computer...
The problem of estimating process derivatives in the on-line optimization case has been extensively addressed in last few decades. In fact, it has received such attention due to the fact that earlier methods have encountered major drawbacks in the past. These drawbacks have either caused the non-convergence of the optimization algorithm, or led to the decrease in its performance. This paper investigates...
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.