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Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on

Date 10-12 Sept. 2008

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  • [Front cover]

    Publication Year: 2008, Page(s): C1
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  • [Title page i]

    Publication Year: 2008, Page(s): i
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  • [Title page iii]

    Publication Year: 2008, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2008, Page(s): iv
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  • Table of contents

    Publication Year: 2008, Page(s):v - xvii
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  • Welcome from the HIS 2008 General Chairs

    Publication Year: 2008, Page(s):xviii - xix
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  • Welcome from the HIS 2008 Program Chairs

    Publication Year: 2008, Page(s): xx
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  • Welcome from the HIS 2008 Workshops and Special Sessions Chair

    Publication Year: 2008, Page(s): xxi
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  • Welcome from the HIS 2008 Industrial Track and Exhibition Chairs

    Publication Year: 2008, Page(s): xxii
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  • Conference Committees

    Publication Year: 2008, Page(s):xxiii - xxiv
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  • Program Committees

    Publication Year: 2008, Page(s):xxv - xxviii
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  • Additional reviewers

    Publication Year: 2008, Page(s): xxix
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  • Workshops and Special Sessions Committees

    Publication Year: 2008, Page(s):xxx - xxxi
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  • Technical Co-Sponsors and Sponsors

    Publication Year: 2008, Page(s): xxxii
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  • Plenary Keynotes

    Publication Year: 2008, Page(s):xxxiii - xxxv
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (158 KB)

    Provides an abstract for each of the keynote presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • Evolutionary Computer Vision: A Taxonomic Tutorial

    Publication Year: 2008, Page(s):1 - 6
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (155 KB) | HTML iconHTML

    Applications of evolutionary computation (EC) techniques to computer vision are drawing increasing interest from researchers. There are many different ways in which EC techniques can be used as an effective aid to solve problems in the computer vision domain. This paper provides a brief review of the opportunities offered by EC to researchers in computer vision, trying to classify them according t... View full abstract»

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  • Binary Connectives in Fuzzy Logic

    Publication Year: 2008, Page(s):7 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (209 KB) | HTML iconHTML

    This paper gives an overview on some classes of binary connectives that play a key role in fuzzy logic. We start with left-continuous triangular norms, by recalling some facts about the nilpotent minimum and its extensions. Some standard construction methods are also described. We also deal with two possible extensions of t-norms: the classes of uninorms and nullnorms. View full abstract»

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  • Ant Colony Optimization for Continuous Domains: Application to Reservoir Operation Problems

    Publication Year: 2008, Page(s):13 - 18
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (250 KB) | HTML iconHTML

    Recent attempts for direct extension of ant algorithms to continuous decision space led to a new approach called ACOR. The authors of proposed method tested their algorithm on some well-known benchmark problems presented in the literature and concluded the strong performance of ACOR in comparison with other ant and non-ant based methods. In this paper, we briefly review the central idea and mathem... View full abstract»

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  • A Simulated Annealing Algorithm for Single Objective Trans-Dimensional Optimization Problems

    Publication Year: 2008, Page(s):19 - 24
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (389 KB) | HTML iconHTML

    In this paper, we introduce a simulated annealing algorithm for single objective, trans-dimensional optimization problems. Trans-dimensional optimization refers to a class of problems where candidate solutions can have different number of variables. For such problems, the existing optimization methods need to be run for various models (i.e. problems with fixed number of variables) extensively, whi... View full abstract»

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  • Multi-Ring Dispersed Particle Swarm Optimization

    Publication Year: 2008, Page(s):25 - 30
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (378 KB) | HTML iconHTML

    Particle swarm optimization (PSO) has been widely used to solve unconstrained optimization problems. However, problems in hyper dimensional spaces require the development of enhanced issues. For this, some variations of the original PSO form have been proposed, mainly concerning on the velocity update equation and sophisticated communication topologies of the swarm. In this paper, we propose a PSO... View full abstract»

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  • Prune and Plant: A New Bloat Control Method for Genetic Programming

    Publication Year: 2008, Page(s):31 - 35
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (131 KB) | HTML iconHTML

    This paper reports a comparison of several bloat control methods and also evaluates a new proposal for limiting the size of the individuals: a genetic operator called prune and plant. The aim of this work is to prove the adequacy of this new method. Since a preliminary study of the method has already shown promising results, we have performed a thorough study in a set of benchmark problems aiming ... View full abstract»

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  • DANTE The Combination between an Ant Colony Optimization Algorithm and a Depth Search Method

    Publication Year: 2008, Page(s):36 - 41
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (247 KB) | HTML iconHTML

    The isin-DANTE method is an hybrid meta-heuristic. In combines the evolutionary ant colony optimization (ACO) algorithms with a limited depth search. This depth search is based in the pheromone trails used by the ACO, which allows it to be oriented to the more promising areas of the search space. Some results are presented for the multiple objective k-degree spanning trees problem, proving the eff... View full abstract»

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  • Implicit User Modelling Using Hybrid Meta-Heuristics

    Publication Year: 2008, Page(s):42 - 47
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (524 KB) | HTML iconHTML

    The requirements imposed on information retrieval systems are increasing steadily. The vast number of documents in today's large databases and especially on World Wide Web causes notable problems when searching for concrete information. It is difficult to find satisfactory information that accurately matches user information needs even if it is present in the database. One of the key elements when... View full abstract»

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  • Assignment of Students to Preferred Laboratory Groups Using a Hybrid Grouping Genetic Algorithm

    Publication Year: 2008, Page(s):48 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (209 KB) | HTML iconHTML

    In this paper we present an application of the grouping genetic algorithm to the problem of assigning students to laboratory groups in university courses. This problem includes an important constraint of capacity, due to laboratories usually have a maximum number of equips or computers available, so the number of total students in a group is constrained to be equal or less than the capacity of the... View full abstract»

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  • The Impact of Local Search on Protein-Ligand Docking Optimization

    Publication Year: 2008, Page(s):53 - 58
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (282 KB) | HTML iconHTML

    Common evolutionary approaches to protein-ligand docking optimization use mutation operators based on Gaussian and Cauchy distributions, with local search hybrids. The choice of a local search method is important for an efficient algorithm. We investigate the impact of local search with mutation operators by performing a locality analysis. High locality means that small variations in the genotype ... View full abstract»

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