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Found 6289 publications

A novel diversity induction method for bacterial memetic algorithm by hibernation of individuals

János Botzheim

Publication Name: Proceedings 2012 6th International Conference on Genetic and Evolutionary Computing Icgec 2012

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 328-331

Description:

Memetic algorithms combine evolutionary algorithms with local search heuristics in order to speed up the evolutionary process. The bacterial memetic algorithm applies the bacterial operators instead of the genetic algorithm's crossover and mutation operator. In this paper a novel diversity induction method is proposed for bacterial memetic algorithm. Hibernation of some individuals in the population is applied for avoiding premature convergence to local optima. This operation can help in turning back from unpromising region of the search space by previously found solutions represented in hibernated bacteria. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/ICGEC.2012.25

A numerical method for creating and reconstructing computer-generated holograms

Lotfi Abdelhakim

Publication Name: Aip Conference Proceedings

Publication Date: 2012-12-01

Volume: 1479

Issue: 1

Page Range: 2182-2186

Description:

The main purpose of this article is to develop a program package which generates artificial holograms by numerical methods and these computer generated holograms are numerically reconstructed. For the calculation of light propagation needed in the generation of holograms or in the reconstruction of the object from the hologram, we use two strategies. The first is the Fourier-based algorithm where the diffraction integral is approximated as a convolution integral, allowing computation using the fast Fourier transform algorithm. The second uses finite difference discretization to solve the parabolic wave equation. Numerical tests that assess the accuracy of these algorithms are presented. © 2012 American Institute of Physics.

Open Access: Yes

DOI: 10.1063/1.4756625

New parameterizable search space narrowing technique for adjusting between accuracy and interpretability in fuzzy systems

Krisztián Balázs László T. Kóczy

Publication Name: Cinti 2012 13th IEEE International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 323-328

Description:

It is well known that beyond the fact that fuzzy systems have favorable modeling capabilities from the viewpoint of accuracy, they also have outstanding inherent interpretability possibilities, which is a rather unique property among modeling architectures and which is a strong motivation for their research and application. This paper focuses on both mentioned property types and proposes a new technique for adjusting between accuracy and interpretability in modeling systems where fuzzy rule based architectures together with evolutionary algorithms are used for knowledge extraction. First, an inconsistency problem of conventional interpretable fuzzy systems is resolved. Then, a new search space narrowing technique for evolutionary algorithms is proposed, which can be applied for constructing interpretable fuzzy rule bases. Finally, the favorable properties of this new approach will be verified experimentally by carrying out simulation runs. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CINTI.2012.6496783

New energy management and hybrid energy storage for metro railcar

I. Szenasy

Publication Name: 26th Electric Vehicle Symposium 2012 Evs 2012

Publication Date: 2012-12-01

Volume: 4

Issue: Unknown

Page Range: 2734-2742

Description:

This paper focuses on the use of model and simulation one of renewable energy. In this paper the results of simulation models by Matlab-Simulink for an urban-metro railcar and some newer methods for reducing the need value of capacitance for energy storage in cooperation by a Li-ion battery are presented. In this research was been investigated the Li-ion battery and the supercapacitor as hybrid energy storing device for the same task and its effectivness under operation of a suitable energy control system. The available decreasing ratio of the needed energy storage at case SCAP is 25 % to 40 % with this improved energy control method, which are significant values as decreasing in volume, mass and price. Mass reduction of our hybrid storage system is significant, about 60%.

Open Access: Yes

DOI: DOI not available

Stabilization and synchronization of dynamicons through CogInfoCom channels

Peter Galambos Adam B. Csapo Peter Varlaki Péter Baranyi

Publication Name: 3rd IEEE International Conference on Cognitive Infocommunications Coginfocom 2012 Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 33-36

Description:

Research on CogInfoCom channels has thus far focused on channels in which syntactics and semantics have a static relationship, and in which information is communicated through the transmission of discrete CogInfoCom messages between two communicational endpoints. In this paper, we make a first attempt to extend the concept of CogInfoCom channels to incorporate dynamicons, which are forms of communication in which two or more communicational endpoints are bound to the same dynamic processes. Information, then, is the transmitted dynamics itself, instead of being represented by a set of messages which are external to the process of communication. After a short introduction to what we mean by the concept of dynamicons, we present a reference model to this problem which is suitable for Internet-based communication characterized by unpredictable time delays. We discuss how the generalization of the reference model can lead to interesting and novel applications in CogInfoCom. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2012.6422012

Simultaneous optimization of customer satisfaction and cost function by nature inspired computing

János Botzheim Peter Foldesi

Publication Name: Smart Innovation Systems and Technologies

Publication Date: 2012-12-01

Volume: 15

Issue: Unknown

Page Range: 309-318

Description:

When optimizing multi-dimensional non-linear problems the optimal solution in technical terms can be found by heuristic methods. It seems that human thinking does not work properlywith the mathematical processing: human decisionmakers tend to reject options that represent extreme values in the set of parameters and are not able to handle many system parameters at the same time. The paper investigates the best possible way for modeling the human thinking, comparing bacterial memetic algorithm and particle swarm optimization in fuzzy environment. © Springer-Verlag Berlin Heidelberg 2012.

Open Access: Yes

DOI: 10.1007/978-3-642-29977-3_31

Multi-threaded Bacterial Iterated Greedy heuristics for the Permutation Flow Shop Problem

Krisztián Balázs László T. Kóczy Zoltán Horváth

Publication Name: Cinti 2012 13th IEEE International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 63-66

Description:

This paper proposes approaches for combining Iterated Greedy techniques, as state-of-the-art methods, with bacterial evolutionary algorithms based on a hybrid technique involving the Multi-Threaded Iterated Greedy heuristic and a memetic algorithm in order to efficiently solve the Permutation Flow Shop Problem on parallel computing architectures. In the present work three novel approaches are proposed by combining a variant of the Bacterial Memetic Algorithm and the recently proposed Bacterial Iterated Greedy technique with the mentioned hybrid multi-threaded approach. The techniques thus obtained are evaluated via simulation runs carried out on a series of data from the well-known Taillard's benchmark problem set. Based on the experimental results the multi-threaded hybrid methods are compared to each other and to the original techniques (i.e. to the techniques without bacterial algorithms). © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CINTI.2012.6496734

Progressive bacterial algorithm

László Gál Rita Lovassy László T. Kóczy

Publication Name: Cinti 2012 13th IEEE International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 317-322

Description:

The purpose of this paper is to present a new version of the Bacterial Algorithms used for fuzzy rule base extraction called Progressive Bacterial Algorithm. In order to explore high quality models with very good speed of convergence towards the optimal rule base, we develop an improved version of the Bacterial Evolutionary and former Bacterial Memetic Algorithms. It is shown, in case of multidimensional reference problems, by comparing with existing methods, that an efficient and fast convergent tool is obtained. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CINTI.2012.6496782

Improving the efficiency of a fuzzy-based single-stroke character recognizer with hierarchical rule-base

A. Tormási László T. Kóczy

Publication Name: Cinti 2012 13th IEEE International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 421-426

Description:

In this paper we present an improved version of the fuzzy based single-stroke character recognizer introduced in previous works. The modified recognition method is able to reach an acceptable accuracy in the character recognition with a significant decrease on the computational complexity of the algorithm. Different hierarchical rule-base techniques were successfully used to improve the efficiency of fuzzy systems. The altered recognizer reached 98.82% average recognition rate with 26 different single-stroke symbols (based on Palm's Graffiti alphabet) without learning user-specific parameters or modifying the rule-base during the tests. The new algorithm has a small decrease in the recognition rate compared to the accuracy of the original systems but the new method has less computational price than the original system does. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CINTI.2012.6496803