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International Conference on Cyberworlds

作者： Akemi Gálvez Andrés Iglesias Dpt. of Applied Mathematics & Comp. Sci. University of Cantabria Santander SPAIN Department of Information Science Toho University Funabashi JAPAN

This paper concerns the problem of fitting curves to data points, a classical optimization problem in computer-Aided Geometric Design (CAGD) and CAD/CAM. This issue plays an important role in real-world problems such as the construction of car bodies, ship hulls, airplane fuselage, and other free-form objects. A typical example comes from reverse engineering where free-form shapes are extracted from clouds of scanned data points. In this paper we address this issue by applying a nature-inspired method, called electromagnetism algorithm, introduced recently to solve global optimization problems. The method is based on the interaction among particles endowed with electric charge and subjected to an attraction-repulsion mechanism in order to move the sample points towards the optimality. This algorithm is applied to compute a proper parameterization of noisy data points in order to fit Bezier curves to given sets of irregularly sampled data points. Some illustrative examples for both open and closed 2D and 3D curves show the good performance of our approach.

关键词： Optimization Force Approximation methods Vectors Noise measurement Shape Three-dimensional displays

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Model Identification for Flow Simulations in Geothermal Reservoirs: Towards Optimally Drilling Boreholes

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PAMM 2013年第1期13卷

作者： Kateryna Padalkina H. Martin Bücker Michael Herty Volker Rath Ralf Seidler RWTH Aachen University Mathematics (Continuous Optimization) Templergraben 55 D-52056 Aachen Friedrich Schiller University Jena Institute of Computer Science Ernst-Abbe-Platz 2 D-07743 Jena Universidad Complutense de Madrid Ciudad Universitaria PalMA Research Group Dpt. of Earth Sciences Astronomy and Astrophysics Faculty of Physical Sciences 28040 Madrid Spain

In geothermal reservoir engineering, one is interested in determining the location of boreholes such that measurements taken therein, say temperature, will allow the estimation of unknown parameters such as porosity and permeability. We formulate such a particular borehole location problem and find its solution by techniques from optimal experimental design. More precisely, we minimize the D-optimality criterion to find an optimal location of a single borehole to estimate hydraulic permeability from temperature measurements in two boreholes. (© 2013 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim)

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Improving Enterprise Resource Planning results using knowledge extraction and learning

Improving Enterprise Resource Planning results using knowled...

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2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010

作者： Berzosa, Alba Sedano, Javier Villar, José R. Garcfía-Tamargo, Marco Corchado, Emilio A.I and Applied Electronics Dpt. Instituto Tecnológico de Castilla y León Burgos Spain Computer Science Dpt. University of Oviedo Gijón Spain Dpt. de Informática y Automatica Universidad Salamanca Salamanca Spain

ISBN: (纸本)9781424473762

An Enterprise Resource Planning (ERP) system is a highly complex, large, multi-task application that is used to manage production in companies and factories. It monitors and tracks every aspect of all factory-based manufacturing processes. The integration of ERP and Business Process Management (BMP) systems facilitates information sharing between both systems. It represents one of the main challenges in the literature. Budgeting tasks represent one area in which ERP and BPM may be integrated. In this work several soft computing methods are applied to obtain a model which will help experts estimate performance. The results of the study show if the data gathered from the plant is informative enough, in order to integrate and shared it among the manufacturing and the business management software. © 2010 IEEE.

关键词： Enterprise resource planning

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Speedup character-based matching in learning classifier systems with xor 10

Speedup character-based matching in learning classifier syst...

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12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010

作者： Énée, Gilles Péroumalnaïk, Mathias Lamia Laboratory Mathematics and Computer Science Dpt. Campus de Fouillole BP 592 97157 Pointe à Pitre Cedex Guadeloupe

ISBN: (纸本)9781450300735

In 2008 a scientific paper written by Butz and al. [3] investigated Matching in Learning Classifier Systems. Matching represents at least 65% of the computational time when executing a classifier system as reported in Llora and al. [7]. We propose to modify that encoding using a fast and accurate matching replacing standard matching algorithm for character-based classifier systems. © 2010 ACM.

关键词： Learning systems

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MeCoSim: A general purpose software tool for simulating biological phenomena by means of P systems

MeCoSim: A general purpose software tool for simulating biol...

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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Pérez-Hurtado, I. Valencia-Cabrera, L. Pérez-Jiménez, M.J. Colomer, M.A. Riscos-Núñez, A. Dpt. of Computer Science and Artificial Intelligence Research Group on Natural Computing University of Sevilla Av. Reina Mercedes s/n 41012 Sevilla Spain Dpt. of Mathematics University of Lleida Av. Alcalde Rovira Roure 191 25198 Lleida Spain

ISBN: (纸本)9781424464388

In recent years, the increasing importance of the computational systems biology is leading to an impressive growth of the knowledge of several real-life phenomena. In this framework, membrane computing is an emergent branch within natural computing that has been succesfully used to model biological phenomena. The study of these phenomena usually requires the execution of virtual experiments using mechanisms of simulation, implying the development of ad-hoc tools to simulate. However, the advance of the research is demanding general solutions to avoid the necessity of custom software developments for each matter of study, when there are some common problems to resolve. MeCoSim (Membrane Computing Simulator) is a first step in this direction providing the users a customizable application to generate custom simulators based on membrane computing by simply writing a configuration file. © 2010 IEEE.

关键词： computer aided software engineering

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A P system based model of an ecosystem of some scavenger birds

A P system based model of an ecosystem of some scavenger bir...

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10th International Workshop on Membrane Computing, WMC 2009

作者： Cardona, Mónica Colomer, M. Angels Margalida, Antoni Pérez-Hurtado, Ignacio Pérez-Jiménez, Mario J. Sanuy, Delfí Dpt. of Mathematics University of Lleida Av. Alcalde Rovira Roure 191 25198 Lleida Spain Research Group on Natural Computing Dpt. of Computer Science and Artificial Intelligence University of Sevilla Avda. Reina Mercedes s/n 41012 Sevilla Spain Dpt. of Animal Production University of Lleida Av. Alcalde Rovira Roure 191 25198 Lleida Spain Spain

ISBN: (纸本)3642114660

In [1], we presented a P system in order to study the evolution of the bearded vulture in the Pyrenees (NE Spain). Here, we present a new model that overcomes some limitations of the previous work incorporating other scavenger species and additional prey species that provide food for the scavenger intraguild and interact with the Bearded Vulture in the ecosystem. After the validation, the new model can be a useful tool for the study of the evolution and management of the ecosystem. P systems provide a high level computational modelling framework which integrates the structural and dynamical aspects of ecosystems in a compressive and relevant way. The inherent randomness and uncertainty in ecosystems is captured by using probabilistic strategies. © 2010 Springer-Verlag.

关键词： Ecosystems

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Modeling population growth of Pyrenean chamois (Rupicapra p. pyrenaica) by using P-systems

Modeling population growth of Pyrenean chamois (Rupicapra p....

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作者： Colomer, Maria Angels Lavín, Santiago Marco, Ignasi Margalida, Antoni Pérez-Hurtado, Ignacio Pérez-Jiménez, Mario J. Sanuy, Delfí Serrano, Emmanuel Valencia-Cabrera, Luis Dpt. of Mathematics University of Lleida Av. Alcalde Rovira Roure 191 25198 Lleida Spain Spain Spain Research Group on Natural Computing Dpt. of Computer Science and Artificial Intelligence University of Sevilla Avda. Reina Mercedes s/n 41012 Sevilla Spain Dpt. of Animal Production University of Lleida Av. Alcalde Rovira Roure 191 25198 Lleida Spain

ISBN: (纸本)3642181228

P systems provide a high level computational modeling framework which integrates the structural and dynamic aspects of ecosystems in a comprehensive and relevant way. In previous works, several ecosystems modeled by using P systems were presented. The good results obtained encourage us to study new ecosystems such as the one presented in this paper. Pyrenean Chamois (Rupicapra p. pyrenaica) is an ungulate species inhabiting the Catalan Pyrenees. In recent years, several diseases have caused a drastic decrease in the number of individuals. Since they provide significant economic contributions in the area and constitutes an important food resource for obligate and facultative scavengers, it is very interesting to provide a model in order to facilitate the management of their ecosystems. © 2010 Springer-Verlag.

关键词： Ecosystems

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MeCoSim: A general purpose software tool for simulating biological phenomena by means of P systems

MeCoSim: A general purpose software tool for simulating biol...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： I. Pérez-Hurtado L. Valencia-Cabrera M.J. Pérez-Jiménez M.A. Colomer A. Riscos-Núñez Dpt. of Computer Science and Artificial Intelligence University of Sevilla Sevilla Spain Dpt. of Mathematics University of Lleida Lleida Spain

In recent years, the increasing importance of the computational systems biology is leading to an impressive growth of the knowledge of several real-life phenomena. In this framework, membrane computing is an emergent branch within natural computing that has been successfully used to model biological phenomena. The study of these phenomena usually requires the execution of virtual experiments using mechanisms of simulation, implying the development of ad-hoc tools to simulate. However, the advance of the research is demanding general solutions to avoid the necessity of custom software developments for each matter of study, when there are some common problems to resolve. MeCoSim (Membrane Computing Simulator) is a first step in this direction providing the users a customizable application to generate custom simulators based on membrane computing by simply writing a configuration file.

关键词： Biological system modeling Computational modeling Biomembranes Skin Protocols

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A new simulation algorithm for multienvironment probabilistic P systems

A new simulation algorithm for multienvironment probabilisti...

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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Martínez-Del-amor, M.A. Pérez-Hurtado, I. Pérez-Jiménez, M.J. Riscos-Núñez, A. Colomer, M. Angels Dpt. of Computer Science and Artificial Intelligence University of Seville Avda. Reina Mercedes s/n 41012 Sevilla Spain Department of Mathematics University of Lleida Avda. Alcalde Rovira Roure 191 25198 Lleida Spain

ISBN: (纸本)9781424464388

Multienvironment P systems are the base of a general framework for modeling ecosystems dynamics. On one hand, this modeling framework represents the structural and dynamical aspects of real ecosystems in a discrete, modular and compressive way. On the other hand, the inherent randomness and uncertainty of biological systems are captured by using probabilistic strategies. Nowadays, the simulation of these P systems based models is fundamental for experimentation and validation. In this paper, we introduce a new simulation algorithm, called DNDP, which performs object distribution and maximal consistency in the application of rules, that are crucial aspects of these systems. The paper also depicts a parallel implementation of the algorithm, and a comparison with the existing algorithm in PLinguaCore is provided. In order to test the performance of the presented algorithm, several experiments (simulations) have been carried out over four simple P systems with the same skeleton and different number of environments. © 2010 IEEE.

关键词： Ecosystems

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Simulating tritrophic interactions by means of P systems

Simulating tritrophic interactions by means of P systems

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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Colomer, M. Angels Pérez-Hurtado, Ignacio Pérez-Jiménez, Mario J. Riscos-Núñez, Agustin Department of Mathematics University of Lleida Avda. Alcalde Rovira Roure 191 25198 Lleida Spain Dpt. of Computer Science and Artificial Intelligence University of Seville Avda. Reina Mercedes s/n 41012 Sevilla Spain

ISBN: (纸本)9781424464388

P systems provide a high level computational modelling framework that combines the structural and dynamical aspects of ecosystems in a compressive and relevant way. The inherent randomness and uncertainty in biological systems is captured by using probabilistic strategies. The design of efficient simulation algorithms in order to reproduce the behavior of these computational models over conventional computers is fundamental for the validation and virtual experimentation processes. In this paper, we describe the modelling framework and two different simulation algorithms. As a case study, a P system based model of an ideal ecosystem with three trophic levels is designed and simulated by both simulation algorithms, providing comparisons of efficiency between them. © 2010 IEEE.

关键词： Ecosystems

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