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IEEE International Conference on Fuzzy Systems

作者： J. I. Forcén M. Pagola H. Bustince J.M. Soto-Hidalgo J. Chamorro-Martinez Dpt. Automática y Computación Universidad Pública de Navarra 31006 Pamplona Spain Dpt of Computer Architecture Electronics and Electronic Technology University of Cordoba Cádoba Spain Dpt of Computer Science and Artificial Intelligence niversity of Granada Granada Spain

ISBN: (纸本)9781509060351

Color is a powerful feature for image analysis but it is usually not used in image classification schemes. We propose a method to combine fuzzy color information with the result obtained from a One-Versus-All classifier (OVA) trained with Bag-of-features. This method consists in weighting the outputs of the OVA classifier based on the distances between the new image to be classified and the classes. Experimental results show that our approach improves OVA classifier performance.

关键词： Image color analysis Histograms Fuzzy sets Marine vehicles Support vector machines Visualization Electronic mail

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Approximating the pareto-front of continuous bi-objective problems: Application to a competitive facility location problem

Approximating the pareto-front of continuous bi-objective pr...

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1st International Symposium on Management Intelligent Systems, IS-MiS 2012

作者： Redondo, J.L. Fernández, J. Álvarez, J.D. Arrondoa, A.G. Ortigosa, P.M. Dpt. of Computer Architecture and Technology University of Granada Granada Spain Dpt. of Computer Sciences and Languages University of Almería ceiA3 Almería Spain Dpt. of Statistics and Operations Research University of Murcia Murcia Spain Dpt. of Computer Architecture and Electronics University of Almería ceiA3 Almería Spain

ISBN: (纸本)9783642308635

A new general multi-objective optimization heuristic algorithm, suitable for being applied to continuous multi-objective optimization problems is proposed. It deals with the problem at hand in a fast and efficient way. It combines ideas from different multi-objective and single-objective optimization evolutionary algorithms, although it also incorporates new devices which help to reduce the computational requirements, and also to improve the quality of the provided solutions. To show its applicability, a bi-objective competitive facility location and design problem is considered. This problem has been previously tackled through exact general methods, but they require high computational effort. A comprehensive computational study shows that the heuristic method is competitive, being able to reduce, in average, the computing time of the exact method by approximately 98%, and offering good quality in the final solutions. © 2012 Springer-Verlag.

关键词： Heuristic methods

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Multi-objective evolutionary algorithms used in greenhouse planning for recycling biomass into energy

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作者： Márquez, A.L. Gil, C. Manzano-Agugliaro, F. Montoya, F.G. Fernández, A. Baños, R. Dpt. of Computer Architecture and Electronics University of Almería Spain Dpt. of Rural Engineering University of Almería Spain

ISBN: (纸本)9783642148828

Advanced parallel Multi-Objective Evolutionary Algorithms (MOEA) have been used in order to solve a wide array of problems, including the planning of greenhouse crops. This paper shows the application of MOEA using the Island Parallel Model to solve a problem involving greenhouse crop planning in order to maximize profits and the production of biomass while reducing economic risks. The interest in maximizing biomass waste lies in the possibility of recycling it into heat and energy. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Greenhouses

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A new memetic algorithm for the two-dimensional bin-packing problem with rotations

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作者： Fernández, A. Gil, C. Márquez, A.L. Baños, R. Montoya, M.G. Alcayde, A. Dpt. Computer Architecture and Electronics University of Almería Carretera de Sacramento s/n Cañada San Urbano Almería 04120 Spain

ISBN: (纸本)9783642148828

The two-dimensional bin-packing problem (2D-BPP) with rotations is an important optimization problem which has a large number of practical applications. It consists of the non-overlapping placement of a set of rectangular pieces in the lowest number of bins of a homogenous size, with the edges of these pieces always parallel to the sides of bins, and with free 90 degrees rotation. A large number of methods have been proposed to solve this problem, including heuristic and meta-heuristic approaches. This paper presents a new memetic algorithm to solve the 2D-BPP that incorporates some operators specially designed for this problem. The performance of this memetic algorithm is compared with two other heuristics previously proposed by other authors in ten classes of frequently used benchmark problems. It is observed that, in some cases, the method here proposed is able to equal or even outperform to the results of the other two heuristics in most test problems. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Problem solving

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A key distribution scheme for live streaming multi-tree overlays

Advances in Intelligent and Soft Computing

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Advances in Intelligent and Soft Computing 2010年 85卷 223-230页

作者： Naranjo, Juan Álvaro Muñoz Ramos, Juan Antonio López Casado, Leocadio González Dpt. of Computer Architecture and Electronics University of Almería Spain Dpt. of Algebra and Mathematical Analysis University of Almería Spain

ISBN: (纸本)9783642166259

Multicast peer-to-peer overlays are being progressively adopted in commercial platforms in spite of some childhood problems. One of the major issues that need further development is key distribution and conditional access. This is a crucial matter for this kind of networks in order to gain wide commercial acceptance, especially among content producers. This paper presents a secure, fault-tolerant, efficient key distribution scheme for multi-tree overlays that allows for quality-of-service gradation and introduces very little bandwidth overhead. It uses secret sharing techniques and a novel multicast mechanism which is described. No major changes are needed in the content distribution network, since the scheme fits it gracefully. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Quality of service

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Universal global optimization algorithm on shared memory multiprocessors

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10th International Work-Conference on Artificial Neural Networks, IWANN 2009

作者： Redondo, Juana L. García, Inmaculada Martínez Ortigosa, Pilar Dpt. Computer Architecture and Electronics University of Almería Almería 04120 Spain

ISBN: (纸本)3642024807

In this work, a parallel version of the evolutionary algorithm called UEGO (Universal Evolutionary Global Optimizer) has been implemented and evaluated on shared memory architectures. It is based on a threaded programming model, which is suitable to be run on current personal computers with multicore processors. © 2009 Springer Berlin Heidelberg.

关键词： Evolutionary algorithms

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Interval parallel global optimization with charm++

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7th International Conference on Applied Parallel Computing, PARA 2004

作者： Martínez, José A. Casado, Leocadio G. Alvarez, José A. García, Inmaculada Computer Architecture and Electronics Dpt. University of Almería 04120 Almería Spain

ISBN: (纸本)3540290672

Interval Global Optimization based on Branch and Bound (B&B) technique is a standard for searching an optimal solution in the scope of continuous and discrete Global Optimization. It iteratively creates a search tree where each node represents a problem which is decomposed in several subproblems provided that a feasible solution can be found by solving this set of subproblems. The enormous computational power needed to solved most of the B&B Global Optimization problems and their high degree of parallelism make them suitable candidates to be solved in a multiprocessing environment. This work evaluates a parallel version of AMIGO (Advanced Multidimensional Interval Analysis Global Optimization) algorithm. AMIGO makes an efficient use of all the available information in continuous differentiable problems to reduce the search domain and to accelerate the search. Our parallel version takes advantage of the capabilities offered by Charm++. Preliminary results show our proposal as a good candidate to solve very hard global optimization problems. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Global optimization

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Automatic synthesis of data-flow systems using a high level codesign tool. Application to vision processors

Automatic synthesis of data-flow systems using a high level ...

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2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006

作者： Álvarez, Antonio Martínez Reyneri, Leonardo Maria Pelayo Valle, Francisco J. Polytechnic University College Dpt. Computing Technology and Computation University of Alicante Alicante Spain Polytechnic of Turin Dpt. of Electronics Torino Italy University of Granada Dpt. of Computer Architecture and Technology Granada Spain

ISBN: (纸本)1424400872

In this paper, we present a tool devised for the automatic design and optimization of bioinspired visual processing models using reconfigurable hardware. We have focused on the simulation and optimization characteristics of our system. We also present a retina-like processing system based on a PCI-based FPGA board as an example. The whole system is intended for the design and analysis of real-time vision processing schemes. The top-down design path of our system involves a high level synthesis scheme while allowing different strategies for optimizing the system via the CodeSimulink codesign tool. © 2006 IEEE.

关键词： Data flow analysis

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A global optimization approach to image translational alignment in electron microscopy

A global optimization approach to image translational alignm...

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IEEE International Conference on Systems, Man and Cybernetics

作者： J.L. Redondo R.M. Ortigosa I. Garcia J.J. Fernandez Dpt. Computer Architecture and Electronics University of Almería Almeria Spain

Electron microscope tomography allows determination of the 3D structure of biological specimens, which is critical to understanding their function. Prior to the 3D reconstruction procedure, the images taken from the microscope have to be properly aligned. Traditional alignment methods in this field are based on a phase residual function to be minimized by inefficient exhaustive search procedures. This work addresses this minimization problem from a global optimization perspective. UEGO, an evolutionary multimodal optimization algorithm, has been applied and evaluated for the task of image alignment in this field. UEGO has turned out to be a promising technique alternative to the standard methodology. The alignments found out by UEGO show high levels of accuracy, while reducing the number of function evaluations by a significant factor with respect to the standard method.

关键词： Electron microscopy Clustering algorithms Tomography Stochastic processes Cooling computer architecture Evolutionary computation Image processing Image resolution Reconstruction algorithms

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A VHDL library to analyse fault tolerant techniques

A VHDL library to analyse fault tolerant techniques

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13th International Conference on Field-Programmable Logic and Applications, FPL 2003

作者： Ortigosa, P.M. Lòpez, O. Estrada, R. Garcìa, I. Garzòn, E.M. Dpt. of Computer Architecture and Electronics University of Almerìa Almerìa04120 Spain

ISBN: (纸本)3540408223

This work presents an initiative to teach the basis of fault tolerance in digital systems design in undergraduate and graduate courses in electrical and computer engineering. The approach is based on a library of characteristic circuits related to fault tolerance techniques which has been implemented using a Hardware Description Language (VHDL). Due to the properties of the design tools associated to these languages, this approach allows with ease: (1) to implement faults tolerant digital systems;(2) to d etermine the behaviour of system when faults are presented;(3) to evaluate the additional resources and response time linked to any fault tolerance technique in the laboratory. © Springer-Verlag Berlin Heidelberg 2003.

关键词： computer hardware description languages

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