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.
Complex systems composed of many components can operate in an inappropriate way. Information about the system is obtained in time, gradually. The assessment of casualties in such situation has challenged many researchers. The present paper provides a new compact methodology for diagnostics of faults form measurements: Space of measurements is divided into symptoms. Each symptom is able to admit some...
The control of parameters during the execution of bio-inspired algorithms is an open research area. In this paper, we propose a new parameter control strategy for the immune algorithm CLONALG. Our approach is based on reinforcement learning ideas. We focus our attention on controlling the number of clones and the number of selected cells which follow a mutation process for improvement. Their values...
Although RED has been widely used with TCP, however it has several known drawbacks [1]. The BLUE algorithm that benefits from a different structure has tried to compensate some of them in a successful way [2]. A quick review on active queue management algorithms from the very beginning indicates that most of them tried to improve classic algorithms. Some of them use network traffic history to achieve...
Automatic trading methods are important issues in recent financial markets. In this paper, we compare some genotype coding methods of technical indicators and their parameters to acquire stock trading strategy using genetic algorithms (GAs). In previous works, the locus-based representation is widely used for encoding technical indicators on chromosomes in GAs, and the direct coding is also widely...
In this paper, we propose a biologically-inspired algorithm for clustering distributed data in a peer-to-peer network with a small world topology. The method proposed is based on a set of locally executable flocking algorithms that use a decentralized approach to discover clusters by an adaptive nearest-neighbor non-hierarchical approach and the execution, among the peers, of an iterative self-labeling...
In recent years a swarm-based optimization methodology called Particle Swarm Optimization (PSO) has developed. If one wants to apply PSO one has to specify several parameters as well as to select a neighborhood topology. Several topologies being widely used can be found in literature. This raises the question, which one fits best to your application at hand. To get rid of this topology selection problem,...
In this paper a self-adapting architecture for FOREX market prediction, which is being developed, is described. The proposed system utilizes genetic programming (GP) for predictor representation. The goal of the system is the design and adaptation of simple predictors which can either be used by the system itself or be 'manually' used by a human trader.
In this paper at first a new measure of stability of clustering solutions over different bootstrap samples of a data set is proposed. Thereafter in this paper, a multiobjective optimization based clustering technique is developed which optimizes both the measures of symmetry and stability simultaneously to automatically determine the appropriate number of clusters and the appropriate partitioning...
In this talk I will present experimental work in which a swarm of robots cooperate to solve problems that are too difficult for a single robot. In the talk, I will shortly describe the innovative robotic hardware that we built, called a swarm-bot, and the methodology we followed to develop algorithms for its control. Then I will focus on the capabilities of the swarm-bot robotic system by showing...
In this presentation a look is taken at how the use of implant and electrode technology can be employed to create biological brains for robots, to enable human enhancement and to diminish the effects of certain neural illnesses. In all cases the end result is to increase the range of abilities of the recipients. An indication is given of a number of areas in which such technology has already had a...
The talk presents theoretical foundations and practical applications of intelligent information processing systems inspired by information principles in Nature. That includes neuronal-, genetic-, and quantum information principles. First, the paper reviews the main principles of information processing at neuronal-, genetic-, and quantum information levels. Each of these levels has already inspired...
Particle swarm optimization (PSO) algorithms have gained increasing interest for dealing with continuous optimization problems in recent years. Often such problems involve boundary constraints. In this case, one has to cope with the situation that particles may leave the feasible search space. To deal with such situations different bound handling methods have been proposed in the literature and it...
The ambitious goals of autonomic management require complex, adaptable processing capabilities that prove extremely difficult to conceive and implement. This paper proposes a solution for the opportunistic integration of specialised autonomic management resources, so as to obtain complex, adaptable management strategies. The paper introduces an architecture that follows the proposed solution and provides...
The purpose of this paper is twofold. On one hand, we propose a modification of the general Model Predictive Control (MPC) approach where a prespecified tracking error is tolerated. The introduction of error tolerance (ET) in the MPC optimization algorithm reduces considerably the average duration of each optimization step and makes the MPC computationally more efficient and attractive for industrial...
This paper presents a novel approach of overlapping communities generation for online support forums. Different from traditional online forums that provide the most similar or relevant information to respond to a user query, the approach proposed in this paper manages online forums and provides user support based on overlapping communities. Inspired by natural societies, a forum is deemed as a complex...
Cutting analysis is a important and crucial task to detect and prevent problems during the petroleum well drilling process. Several studies have been developed for drilling inspection, but none of them takes care about analysing the generated cutting at the vibrating shale shakers. Here we proposed a system to analyse the cutting's concentration at the vibrating shale shakers, which can indicate problems...
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.