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Fifth International Conference on Hybrid Intelligent Systems (HIS'05)

6-9 Nov. 2005

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  • Fifth International Conference on Hybrid Intelligent Systems

    Publication Year: 2005
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  • Fifth International Conference on Hybrid Intelligent Systems - Title Page

    Publication Year: 2005, Page(s):i - iii
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  • Fifth International Conference on Hybrid Intelligent Systems - Copyright

    Publication Year: 2005, Page(s): iv
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  • Fifth International Conference on Hybrid Intelligent Systems - Table of contents

    Publication Year: 2005, Page(s):v - xi
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  • Foreword

    Publication Year: 2005, Page(s): xii
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  • Welcome from the General Co-Chairs

    Publication Year: 2005, Page(s): xiii
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  • Welcome from the Program Co-chairs

    Publication Year: 2005, Page(s): xv
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  • Conference Committees

    Publication Year: 2005, Page(s): xvi
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  • Program Committee

    Publication Year: 2005, Page(s): xvii
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  • Additional reviewers

    Publication Year: 2005, Page(s): xix
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  • Probabilistic graphical models in complex industrial applications

    Publication Year: 2005
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (116 KB)

    Summary form only given. Graphical models have become one of the most popular tools to structure uncertain knowledge about high dimensional domains in order to make reasoning in such domains feasible. Their most prominent representatives are Bayesian networks and Markov networks, but also relational and possibilistic networks turned out to be useful in practical applications. For all types of netw... View full abstract»

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  • Hybrid intelligent systems and cognitive robotics

    Publication Year: 2005
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (85 KB)

    Summary form only given. There has been substantial progress in both intelligent systems and robotics in recent years. While in the past robots were most successful in traditional industrial environments, new generations of hybrid intelligent robotic systems are being developed which focus on higher cognitive capabilities, including reasoning learning and language communication. In this paper we g... View full abstract»

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  • Evolutionary multi-objective optimization: current state and future challenges

    Publication Year: 2005
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (83 KB)

    Summary form only given. There has been an increasing interest in using heuristic search algorithms based on natural selection (the so called "evolutionary algorithms") for solving a wide variety of problems. As in any other discipline, research on evolutionary algorithms has become more specialized over the years, giving rise to a number of subdisciplines. This paper deals with one of the emergin... View full abstract»

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  • Natural language processing

    Publication Year: 2005
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (123 KB)

    Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, the focus in AI applications in NLP was on knowledge representation, logical reasoning, and constraint satisfaction - first applied to semantics and later to the ... View full abstract»

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  • Application of data mining techniques as a complement to natural inflow uni-variable stochastic forecasting - a case study : the Iguacu River Basin

    Publication Year: 2005
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB) | HTML iconHTML

    This paper presents the results obtained from the utilization of a public dominion software that, through data mining and neural networks with Bayesian training is capable of laying the foundation for the selection of the most appropriate natural inflow forecast used in the PREVIVAZ stochastic modeling system. This technique utilizes precipitation information, forecasted and observed, a well as ve... View full abstract»

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  • A collaborative approach to knowledge extraction from rough relational databases

    Publication Year: 2005
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    This paper proposes a collaborative approach, which combines two processes: the extraction of approximate information from a rough relational database and its generalization into symbolical rules. A rough relational database model is basically a standard relational database model extended with some of the essential features of the rough set theory. The rough approach to relational databases allows... View full abstract»

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  • An immune-inspired approach to Bayesian networks

    Publication Year: 2005
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB) | HTML iconHTML

    Bayesian networks learning from data has attracted a great deal of research. The usual approaches to accomplishing this task combine two elements. The first one is a heuristic search procedure to generate candidate solutions and the other element is a scoring metric to evaluate each obtained solution based on the likelihood of the network, that can be interpreted as a probability of observing the ... View full abstract»

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  • A hybrid adaptive architecture for mobile robots based on reactive behaviors

    Publication Year: 2005
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    It is desirable that mobile robots applied to real world applications perform their tasks in previously unknown environments. Thus, a mobile robot architecture capable of adaptation is very suitable. This work presents a hybrid adaptive architecture for mobile robots called AAREACT that has the ability of learning how to coordinate primitive behaviors codified by the potential fields method by usi... View full abstract»

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  • Evolving analytic hierarchy processes for artificial life-based games

    Publication Year: 2005
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (224 KB) | HTML iconHTML

    Analytic hierarchy process (AHP) is a multiple criteria decision making approach which is widely used in different engineering domains. The hierarchical structure of AHP makes it a very suitable approach for behavior design in artificial life based games. But the details of an AHP are always designed by a series of interviews with experts of the domain, and this is not possible for problems in whi... View full abstract»

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  • Hybridizing particle filters and population-based metaheuristics for dynamic optimization problems

    Publication Year: 2005
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (752 KB) | HTML iconHTML

    Many real-world optimization problems are dynamic. These problems require from powerful methods to adapt to problem modifications over time. Most applied research on metaheuristics has focused on static (non-changing) optimization problems and these methods often lack from adaptation strategies. Particle filters are sequential Monte Carlo estimation methods which can be applied to Bayesian filteri... View full abstract»

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  • Hybrid algorithms with detection of promising areas for the prize collecting travelling salesman problem

    Publication Year: 2005
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    The prize collecting travelling salesman problem (PCTSP) is a generalization of the travelling salesman problem. It can be associated to a salesman that collects a prize in each city visited and pays a penalty for each city not visited, with travel costs among the cities. The objective is to minimize the sum of the costs of the trip and penalties, including in the tour an enough number of cities t... View full abstract»

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  • A hybrid fuzzy evolutionary algorithm for a multi-objective resource allocation problem

    Publication Year: 2005
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB) | HTML iconHTML

    In this paper a hybrid fuzzy evolutionary algorithm for a multi-objective resource allocation problem, the student project allocation (SPA) problem, is presented. Student project allocation must satisfy a number of soft objectives stemming from multiple points of view. The proposed algorithm employs a fuzzy inference system to model and aggregate the objectives, assuming the role of the fitness fu... View full abstract»

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  • A hybrid approach for the dynamic vehicle routing problem with time windows

    Publication Year: 2005
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB) | HTML iconHTML

    The vehicle routing problem with time windows (VRPTW) is a well-known and complex combinatorial problem. The static version of this problem has received special attention. However, most real world vehicle routing problems are dynamic, where information relevant to the routing can change after the initial routes have been constructed. The common approach in this scenario is to restart the algorithm... View full abstract»

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  • Particle swarm optimization (PSO) applied to fuzzy modeling in a thermal-vacuum system

    Publication Year: 2005
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB) | HTML iconHTML

    A nonlinear identification approach based on particle swarm optimization (PSO) and Takagi-Sugeno (T-S) fuzzy model for describing dynamical behavior of a thermal-vacuum system is proposed in this paper. Identification of nonlinear systems is an important problem in engineering among what fuzzy models have received particular attention due to their potentialities to approximate nonlinear behavior. ... View full abstract»

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  • An efficient adaptive focused crawler based on ontology learning

    Publication Year: 2005
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB) | HTML iconHTML

    The enormous growth of the World Wide Web has made it important to perform resource discovery efficiently. Consequently, several new ideas have been proposed; among them a key technique is focused crawling which is able to crawl particular topical portions of the World Wide Web quickly without having to explore all Web pages. In this paper, we present an intelligent focused crawler algorithm in wh... View full abstract»

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