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2007 IEEE Symposium on Foundations of Computational Intelligence

1-5 April 2007

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Displaying Results 1 - 25 of 101
  • Message From the Program Co-Chairs

    Publication Year: 2007, Page(s):nil1 - nil2
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    Freely Available from IEEE
  • IEEE Symposium on Foundations of Computational Intelligence (FOCI'07)

    Publication Year: 2007, Page(s):nil3 - nil8
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    Freely Available from IEEE
  • Rough-Neuro-Fuzzy Systems for Classification

    Publication Year: 2007, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (293 KB) | HTML iconHTML

    In the paper we present flexible neuro-fuzzy systems and a method for their reduction. The method is based on the concept of the weighted triangular norms. Moreover, a rough-neuro-fuzzy classifier working in the case of missing features is described. View full abstract»

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  • Evolutionary Multiobjective Design of Fuzzy Rule-Based Systems

    Publication Year: 2007, Page(s):9 - 16
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (282 KB) | HTML iconHTML

    The main advantage of fuzzy rule-based systems over other non-linear models such as neural networks is their high interpretability. Fuzzy rules can be usually interpreted in a linguistic manner because they are described by linguistic values such as small and large. Fuzzy rule-based systems have high accuracy as well as high interpretability. A large number of tuning methods have been proposed to ... View full abstract»

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  • Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample

    Publication Year: 2007, Page(s):17 - 24
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1236 KB) | HTML iconHTML

    In this paper, we empirically analyze the convergence behavior of evolutionary algorithms (evolution strategies - ES and genetic algorithms A) for two noisy optimization problems which belong to the class of functions with noise induced multi-modality (FNIMs). Although, both functions are qualitatively very similar, the ES is only able to converge to the global optimizer state for one of them. Add... View full abstract»

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  • When the Plus Strategy Outperforms the Comma Strategyand When Not

    Publication Year: 2007, Page(s):25 - 32
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (247 KB) | HTML iconHTML

    Occasionally there have been long debates on whether to use elitist selection or not. In the present paper the simple (1, lambda) EA and {1 + lambda) EA operating on {0, l}n are compared by means of a rigorous runtime analysis. It turns out that only values for lambda that are logarithmic in n are interesting. An illustrative function is presented for which newly developed proof methods... View full abstract»

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  • On the Influence of Phenotype Plasticity on Genotype Diversity

    Publication Year: 2007, Page(s):33 - 40
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (609 KB) | HTML iconHTML

    A large body of research has investigated the advantages of combining phenotype adaptation and genotype adaptation. The hybridization of genetic search and local search methods, often known as memetic algorithms, and the influence of learning on evolution, i.e., the Baldwin effect and the hiding effect, have been widely studied. However, most work assumes a stationary environment, and thus overloo... View full abstract»

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  • A Probabilistic Model of MOSAIC

    Publication Year: 2007, Page(s):41 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (695 KB) | HTML iconHTML

    Humans can generate accurate and appropriate motor commands in various and even uncertain environments. MOSAIC (MOdular Sellection And Identification for Control) was formerly proposed for describing such human ability, but it includes some complex and heuristic procedures which make the model's understandability hard. In this article, we present an alternative and probabilistic model of MOSAIC (p... View full abstract»

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  • Learning Bayesian Network Structures with Discrete Particle Swarm Optimization Algorithm

    Publication Year: 2007, Page(s):47 - 52
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (941 KB) | HTML iconHTML

    A novel structure learning algorithm of Bayesian networks (BNs) using particle swarm optimization (PSO) is proposed. For searching in structure spaces efficiently, a discrete PSO algorithm is designed in term of the characteristics of BNs. Firstly, fitness function is given to evaluate the structure of BN. Then, encoding and operations for PSO are designed to provide guarantee of convergence. Fina... View full abstract»

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  • A Functional-Link-Based Fuzzy Neural Network for Temperature Control

    Publication Year: 2007, Page(s):53 - 58
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (311 KB) | HTML iconHTML

    This study presents a functional-link-based fuzzy neural network (FLFNN) structure for temperature control. The proposed FLFNN controller uses functional link neural networks (FLNN) that can generate a nonlinear combination of the input variables as the consequent part of the fuzzy rules. An online learning algorithm, which consists of structure learning and parameter learning, is also presented. ... View full abstract»

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  • Granular Computing in Actor-Critic Learning

    Publication Year: 2007, Page(s):59 - 64
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (172 KB) | HTML iconHTML

    The problem considered in this paper is how to guide actor-critic learning based an information granules that reflect knowledge about acceptable behavior patterns. The solution to this problem stems from approximation spaces, which were introduced by Zdzistaw Pawlak starting in the early 1980s and which provide a basis for perception of objects that are imperfectly known. It was also observed by E... View full abstract»

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  • Definability of Approximations for a Generalization of the Indiscernibility Relation

    Publication Year: 2007, Page(s):65 - 72
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1318 KB) | HTML iconHTML

    We discuss a generalization of the indiscernibility relation, i.e., a relation R that is not necessarily reflexive, symmetric, or transitive. On the basis of granules, defined by R, we introduce the idea of definability. Twelve different basic definitions of approximations are discussed. Since four of these approximations do not satisfy, in general, the inclusion property, four additional modified... View full abstract»

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  • Hybrid Optimisation Method Using PGA and SQP Algorithm

    Publication Year: 2007, Page(s):73 - 80
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1456 KB) | HTML iconHTML

    This paper investigates the hybridisation of two very different optimisation methods, namely the parallel genetic algorithm (PGA) and sequential quadratic programming (SQP) algorithm. The different characteristics of genetic-based and traditional quadratic programming-based methods are discussed and to what extent the hybrid method can benefit the solving of optimisation problems with nonlinear co... View full abstract»

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  • Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate

    Publication Year: 2007, Page(s):81 - 88
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1018 KB) | HTML iconHTML

    In this paper, a time varying jumping rate (TVJR) model for opposition-based differential evolution (ODE) has been proposed. According to this model, the jumping rate changes linearly during the evolution based on the number of function evaluations. A test suite with 15 well-known benchmark functions has been employed to compare performance of the DE and ODE with variable jumping rate settings. Re... View full abstract»

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  • Large-scale Sensor Networks as Collective and Frustrated Systems

    Publication Year: 2007, Page(s):89 - 94
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    This article presents a large-scale analysis of a distributed sensing model for systemized and networked sensors. In the system model, a data center acquires binary information from a bunch of L sensors which each independently encode their noisy observations of an original bit sequence, and transmit their encoded sequences to the data center at a combined data rate R, which is strictly limited. S... View full abstract»

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  • Balancing the sticks with fluctuation and delay: Human vs Machine

    Publication Year: 2007, Page(s):95 - 99
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3386 KB) | HTML iconHTML

    We compared the similarities and differences in stick balancing for the human fingertip and that by a servo-controlled machine. The motion of the stick in both cases exhibited a swinging or hunting behavior, which appears to be related to feedback delay. However, human stick balancing appears also to be affected by psychological factors, such as attention, which are not present in machine control ... View full abstract»

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  • Nonequilibrium phase transitions in stochastic systems with and without time delay: controlling various attractors with noise

    Publication Year: 2007, Page(s):100 - 105
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (178 KB) | HTML iconHTML

    Statistical behavior of ensembles of nonlinearly coupled elements driven by external noise is studied on the basis of nonlinear Fokker-Planck equations. The models incorporate two kinds of noise, the Langevin noise and the colored noise introduced in the coupling strength, and time delays. Various types of nonequilibrium phase transitions including Hopf bifurcations and transitions between limit c... View full abstract»

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  • Behavioral Partitioning in a Hierarchical Mixture of Experts using K-Best-Experts Algorithm

    Publication Year: 2007, Page(s):106 - 112
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (989 KB) | HTML iconHTML

    In recent years methods for combining multiple experts (multi expert systems, MES) have been used to solve different problems of classification and regression. In particular hierarchical mixture of experts (HME) has been widely studied. This paper presents a novel method which divides the problem space into behaviorally portioned subsets using k-best-experts algorithm and then uses the HME structu... View full abstract»

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  • Why Intervals? Why Fuzzy Numbers? Towards a New Justification

    Publication Year: 2007, Page(s):113 - 119
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8492 KB) | HTML iconHTML

    The purpose of this paper is to present a new characterization of the not of all intervals (and of the corresponding set of fuzzy numbers). This characterization is based on several natural properties useful in mathematical modeling; the main of these properties is the necessity to be able to combine (fuse) several pieces of knowledge View full abstract»

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  • Fuzzy Partial-Order Relations for Intervals and Interval Weighted Graphs

    Publication Year: 2007, Page(s):120 - 127
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1667 KB) | HTML iconHTML

    Weighted graphs have been broadly employed in various kinds of applications. Weights associated with edges in a graph are constants mostly in the literature. However, in real world applications, these weights may vary within ranges rather than fixed values. To model such kind of uncertainty or variability, we propose interval-valued weighted graphs in this study. In solving practical graph applica... View full abstract»

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  • Task Scheduling on Flow Networks with Temporal Uncertainty

    Publication Year: 2007, Page(s):128 - 135
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1651 KB) | HTML iconHTML

    This study was motivated by the large-scale evacuations and aftermath relief efforts caused by hurricanes Katrina and Rita in 2005. During large-scale natural disasters, both demands and uncertainties on transportation networks can be pushed to the extreme. The objective of this study is to optimally schedule tasks on a flow network that has temporal uncertainty modeled with interval valued time c... View full abstract»

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  • The Use of Interval Methods in Signal Processing and Control for Systems Biology

    Publication Year: 2007, Page(s):136 - 142
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (139 KB) | HTML iconHTML

    The development of approaches for understanding the complex dynamics of biological systems is a growing research area in electrical engineering, particularly in the fields of signal processing and controls. The focus of our research is the exploitation of the parallels between engineering and biology through the development of optimization and identification methods. Specifically, this research co... View full abstract»

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  • Performance Optimization of Adaptive Resonance Neural Networks Using Genetic Algorithms

    Publication Year: 2007, Page(s):143 - 148
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1824 KB) | HTML iconHTML

    We present a hybrid clustering system that is based on the adaptive resonance theory 1 (ART1) artificial neural network (ANN) with a genetic algorithm (GA) optimizer, to improve the ART1 ANN settings. As a case study, we will consider text clustering. The core of our experiments will be the quality of clustering, multi-dimensional domain space of ART1 design parameters has many possible combinatio... View full abstract»

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  • On the BMDGAs and Neural Nets

    Publication Year: 2007, Page(s):149 - 155
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1210 KB) | HTML iconHTML

    We analyze a bivariate marginal distribution genetic model in case of infinite populations and provide relations between the associated infinite population genetic system and the neural networks. A lower bound on population size is exhibited stating that the behaviour of the finite population system, in case of sufficiently large sizes, can be suitably approximated by the behaviour of the correspo... View full abstract»

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  • Artificial immune systems based novelty detection with CNN-UM

    Publication Year: 2007, Page(s):156 - 161
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (369 KB) | HTML iconHTML

    In this paper, we show that the earlier presented immune response inspired algorithmic framework in the work of Gy. Cserey et al. (2006, 2004) for spatial-temporal target detection applications using CNN technology by T. Roska and L.O. Chua (1993, 2002) and T. Roska (2002) can be implemented on the latest CNN-UM chip (Acel6k) by A. Rodriguez-Vazquez (2004) and Bi-i system by A. Zarandy and C. Rekc... View full abstract»

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