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Congress on Evolutionary Computation

作者： Francisco Javier Rodríguez-Díaz Carlos García-Martínez Manuel Lozano Department of Computer Science and Artificial Intelligence University of Granada Spain Department of Computing and Numerical Analysis University of Córdoba Spain

The design of hybrid metaheuristics with ideas from the simulated annealing and evolutionary algorithms fields is a fruitful research line. In this paper, we present a new hybrid algorithm based on a genetic algorithm, whose search process simulates several parallel simulated annealing processes. An empirical study comparing the new model with classic simulated annealing, hybrid metaheuristics based on evolutionary algorithms and simulated annealing, and two evolutionary algorithms, concludes that the alternative scheme for combining ideas from simulated annealing and evolutionary algorithms introduced by the proposal may improve the performance of this kind of hybrid algorithms.

关键词： Simulated annealing Convergence Proposals Evolutionary computation Trajectory Algorithm design and analysis

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Neuromodulation can significantly change the dynamical state of cortical networks

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Behavioral and Brain sciences 2010年第2期19卷 303-304页

作者： Hans Liljenström SANS-Studies of Artificial Neural Systems Department of Numerical Analysis and Computing Science Royal Institute of Technology S-100 44 Stockholm Sweden hali@sans.kth.se

We present simulation results of an olfactory cortex model complementing the results presented in Wright & Liley's target article. We show how the cortical dynamics as expressed in EEG can be regulated by neuromodulation and discuss how the system can attain global stability without cortical-subcortical interaction, as presumed necessary by Wright & Liley. Network structure is shown to be crucial.

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Simulated annealing based on local genetic search

Simulated annealing based on local genetic search

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Congress on Evolutionary Computation

作者： C. Garcia-Martinez M. Lozano Department of Computing and Numerical Analysis University of Córdoba Cordoba Spain Department of Computer Science and Artificial Intelligence University of Granada Granada Spain

The flexible architecture of evolutionary algorithms allows specialised models to be obtained with the aim of resembling other algorithms, but performing more satisfactorily. In fact, several evolutionary proposals playing the role of local search methods have been proposed in the literature. In this paper, we make a step forward extending an innovative model recently proposed, which performs local search on external solutions, to match search process carried out by simulated annealing. We introduce acceptance criterion and cooling scheme concepts from simulated annealing, and modify some original components to better suit the new search process performed. An empirical study comparing the new model with classical simulated annealing algorithms shows that 1) the proposal is often able to reach good fitness values before than its competitors and 2) it suffers weaker convergence speed reductions that allow it to fruitfully continue the search process.

关键词： Simulated annealing Search methods Proposals Cooling Temperature Evolutionary computation Genetic algorithms Genetic mutations Computer science Artificial intelligence

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Continuous Variable Neighbourhood Search Algorithm Based on Evolutionary Metaheuristic Components: A Scalability Test

Continuous Variable Neighbourhood Search Algorithm Based on ...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Carlos García-Martínez Manuel Lozano Department of Computing and Numerical Analysis University of Córdoba Cordoba Spain Department of Computer Science and Artificial Intelligence CITIC-UGR (Research Center on Information and Communications Technology) University of Granada Granada Spain

Variable neighbourhood search is a metaheuristic combining three components: generation, improvement, and shaking components. In this paper, we describe a continuous variable neighbourhood search algorithm based on three specialised evolutionary algorithms, which play the role of each aforementioned component: 1) an EA specialised in generating a good starting point as generation component, 2) an EA specialised in exploiting local information as improvement component, 3) and another EA specialised in providing local diversity as shaking component. We adopt the experimental framework proposed for the Special session on evolutionary algorithms and other metaheuristics for continuous optimization problems - a scalability test, for the ISDA'09 conference, to test the ability of the model of being scalable for high-dimensional problems.

关键词： Scalability Evolutionary computation Artificial intelligence Iterative algorithms Intelligent systems System analysis and design Application software System testing numerical analysis Computer science

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Real-parameter crossover operators with multiple descendents: An experimental study

Real-parameter crossover operators with multiple descendents...

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作者： Sánchez, A.M. Lozano, M. García-Martínez, C. Molina, D. Herrera, F. Department of Software Engineering University of Granada 18071 Granada Spain Department of Computer Science and Artificial Intelligence University of Granada 18071 Granada Spain Department of Computing and Numerical Analysis University of Córdoba 14071 Córdoba Spain Department of Software Engineering University of Cádiz 11002 Cádiz Spain

Crossover operators with multiple descendents produce more than two offspring for each pair of parents. They were suggested as an alternative method to the common practice of generating only two offspring per couple. An offspring selection mechanism is responsible for choosing the two offspring that become the children contributed by the mating. Recently, there has been an increasing interest in incorporating this crossover scheme into real-coded genetic algorithm models because its operation was particularly suitable to attain reliable and accurate solutions for many continuous optimization problems. In this paper, we undertake an extensive empirical study of the main factors that affect the performance of real-parameter crossover operator with multiple descendents. To do this, we focus our attention on three well-known neighborhood-based real-parameter crossover operators, BLX-α, fuzzy recombination, and PNX. The experimental results obtained confirm that the generation of multiple descendents along with the offspring selection mechanism that chooses the two best offspring may enhance the operation of these three crossover operators. Another important finding from our experiments is that real-coded genetic algorithms with crossover operators with multiple descendents are more efficient than standard real-coded genetic algorithms, that is, they offer solutions with higher quality, requiring fewer fitness function evaluations. © 2008 Wiley Periodicals, Inc.

关键词： Intelligent systems

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Continuous stereo gesture recognition with multi-layered silhouette templates and support vector machines

Continuous stereo gesture recognition with multi-layered sil...

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6th Mexican International Conference on Artificial Intelligence, MICAI 2007

作者： Muñoz-Salinas, Rafael Aguirre, Eugenio Garciáa-Silvente, Miguel Goámez, Moises Department of Computing and Numerical Analysis Escuela Politeáctnica Superior University of Coárdoba 14071 Coárdoba Spain Department. de Computer Science and Artificial Intelligence E.T.S. Ingenieria Informatica University of Granada 18071 Granada Spain

ISBN: (纸本)9783540766308

This paper presents a novel approach for continuous gesture recognition using depth range sensors. Our approach can be seen as an extension of Motion Templates [1] using multiple layers that register the three-dimensional nature of the human gestures. Our Multi-Layered templates are created using depth silhouettes, the extension of binary silhouettes when depth information is available. Both the original Motion Templates and our extension have been tested using several classification approaches in order to determine the best one. These approaches include the use of Hu-moments (originally employed in [1]), PCA and Support Vector Machines. Finally, we propose a methodology for creating a continuous gesture recogniser using motion templates. The methodology is applied both to our representation approach and to the original proposal. In order to validate our proposal, several stereo-video sequences have been recorded showing eight people performing a total of ten different gestures that are prone to be confused when monocular vision is used. The conducted experiments show that our proposal performs a 20% better than the original method. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Gesture recognition

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Fuzzy Linguistic Query-based User Profile Learning by Multiobjective Genetic Algorithms

Fuzzy Linguistic Query-based User Profile Learning by Multio...

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International Workshop on Genetic and Evolving Systems, GEFS

作者： Oscar Cordon Enrique Herrera-Viedma Maria Luque European Centre for Soft Computing Micros Mieres Spain Department of Computer Science and Artificial Intelligence University of Granada Granada Spain Department of Computing and Numerical Analysis University of Cordoba Cordoba Spain

In this paper, a multiobjective genetic algorithm is proposed to automatically learn persistent fuzzy linguistic queries for text retrieval applications. These queries are able to represent user's long-term standing information needs in a more interpretable way than the classical "bag of words" user profile structure. Thanks to its multiobjective nature, the introduced genetic fuzzy system is able to build different queries for the same information need in a single run, with a different trade-off between precision and recall. The experiments performed on the classical CACM collection show that although the different queries obtained from our genetic fuzzy system are less accurate in the retrieval task than those derived by one state-of-the-art bag of words method, they compose more flexible, comprehensible and expressive user profiles

关键词： Genetic algorithms Fuzzy systems Fuzzy neural networks Database languages Proposals Information retrieval IP networks Fuzzy sets Routing Data mining

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Object and pose recognition using contour and shape information

Object and pose recognition using contour and shape informat...

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12th International Conference on Advanced Robotics, 2005. ICAR '05

作者： Cornelius, Hugo Kragic, Danica Eklundh, Jan-Olof Computational Vision and Active Perception Laboratory Centre for Autonomous Systems Stockholm Sweden Department of Numerical Analysis and Computing Science Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)0780391772

Object recognition and pose estimation are of significant importance for robotic visual servoing, manipulation and grasping tasks. Traditionally, contour and shape based methods have been considered as most adequate for estimating stable and feasible grasps, [1]. More recently, a new research direction has been advocated in visual servoing where image moments are used to define a suitable error function to be minimized. Compared to appearance based methods, contour and shape based approaches are also suitable for use with range sensors such as, for example, lasers. In this paper, we evaluate a contour based object recognition system building on the method in [2], suitable for objects of uniform color properties such as cups, cutlery, fruits etc. This system is one of the building blocks of a more complex object recognition system based both on stereo and appearance cues, [3]. The system has a significant potential both in terms of service robot and programming by demonstration tasks. Experimental evaluation shows promising results in terms of robustness to occlusion and noise. © 2005 IEEE.

关键词： Industrial robots

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Element-splitting for simulation of fracture in 3D solid continua

Element-splitting for simulation of fracture in 3D solid con...

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8th International Conference on Computational Plasticity: Fundamentals and Applications, COMPLAS VIII

作者： Johnson, Peter R. Petrinic, Nikica Suli, Endre Numerical Analysis Group Oxford University Computing Labaratory University of Oxford United Kingdom Solid Mechanics and Materials Engineering Group Department of Engineering Science University of Oxford United Kingdom

ISBN: (纸本)8495999781

Algorithms for simulation of strain localisation and fracture in 3D solid continua subjected to impact loading are presented. The methodology relies upon the classical continuous Galerkin Finite Element Method for spatial semi-discretisation and the leap-frog central difference scheme for temporal discretisation of the governing partial differential equations. The material behaviour is represented using a rate and temperature dependent hypoelastic-viscoplastic constitutive model with coupled damage and regularised softening. The results presented in this paper are obtained using the constant strain tetrahedral elements. The crack initiation and propagation are modelled using an element splitting method which relies upon quasi-non-local criteria assessed at nodal positions thus allowing for mesh-independent solutions to be achieved. The proposed method uses an efficient local adaptive re-meshing technique in which the elements are divided along the emerging discontinuity using piece-wise planar segments.

关键词： Fracture

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Object and pose recognition using contour and shape information

Object and pose recognition using contour and shape informat...

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International Conference on Advanced Robotics (ICAR)

作者： H. Cornelius D. Kragic J.-O. Eklundh Computational Vision and Active Perception Laboratory Centre for Autonomous Systems Department of Numerical Analysis and Computing Science Royal Institute of Technology Stockholm Sweden

Object recognition and pose estimation are of significant importance for robotic visual servoing, manipulation and grasping tasks. Traditionally, contour and shape based methods have been considered as most adequate for estimating stable and feasible grasps (Bicchi and Kumar, 2000). A new research direction has been advocated in visual servoing where image moments are used to define a suitable error function to be minimized. Compared to appearance based methods, contour and shape based approaches are also suitable for use with range sensors such as, for example, lasers. In this paper, we evaluate a contour based object recognition system building on the method in Nelson and Selinger (1998), suitable for objects of uniform color properties such as cups, cutlery, fruits etc. This system is one of the building blocks of a more complex object recognition system based both on stereo and appearance cues, (Bjorkman and Kragic, 2004). The system has a significant potential both in terms of service robot and programming by demonstration tasks. Experimental evaluation shows promising results in terms of robustness to occlusion and noise

关键词： Shape Object recognition Service robots Robot programming Visual servoing Robotics and automation Computer vision Noise robustness Manufacturing industries Automatic programming

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