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检索条件"任意字段=Conference on Evolutionary and Bio-Inspired Computation - Theory and Applications VI"

共 43 条记录，以下是1-10 订阅

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evolutionary and bio-inspired computation: theory and applications vi

Evolutionary and Bio-Inspired Computation: Theory and Applic...

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evolutionary and bio-inspired computation: theory and applications vi

ISBN: (纸本)9780819490803

The proceedings contain 20 papers. The topics discussed include: uncertainty preserving patch-based online modeling for 3D model acquisition and integration from passive motion imagery;feature-based background registration in wide-area motion imagery;persistent electro-optical/infrared wide-area sensor exploitation;anomaly detection driven active learning for identifying suspicious tracks and events in WAMI video;SIFT vehicle recognition with semi-synthetic model database;insect vision based collision avoidance system for remotely piloted aircraft;anomaly detection driven active learning for identifying suspicious tracks and events in WAMI video;insect vision based collision avoidance system for remotely piloted aircraft;pattern activity clustering and evaluation (PACE);dynamic graph analytic framework (DYGRAF): greater situation awareness through layered multi-modal network analysis;and quality-of-service sensitivity to bio-inspired/evolutionary computational methods for intrusion detection in wireless ad hoc multimedia sensor networks.

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Quality-of-service sensitivity to bio-inspired/evolutionary computational methods for intrusion detection in wireless ad hoc multimedia sensor networks

Quality-of-service sensitivity to bio-inspired/evolutionary ...

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conference on evolutionary and bio-inspired computation - theory and applications vi

作者： Hortos, William S. ACERT Orlando FL 32819 USA

ISBN: (纸本)9780819490803

In the author's previous work, a cross-layer protocol approach to wireless sensor network (WSN) intrusion detection an identification is created with multiple bio-inspired/evolutionary computational methods applied to the functions of the protocol layers, a single method to each layer, to improve the intrusion-detection performance of the protocol over that of one method applied to only a single layer's functions. The WSN cross-layer protocol design embeds GAs, anti-phase synchronization, ACO, and a trust model based on quantized data reputation at the physical, MAC, network, and application layer, respectively. The construct neglects to assess the net effect of the combined bio-inspired methods on the quality-of-service (QoS) performance for "normal" data streams, that is, streams without intrusions. Analytic expressions of throughput, delay, and jitter, coupled with simulation results for WSNs free of intrusion attacks, are the basis for sensitivity analyses of QoS metrics for normal traffic to the bio-inspired methods.

关键词： Ant colony optimization (ACO) anti-phase synchronization (APS) cross-layer protocol design intrusion detection multimedia quality of service (QoS) reputation quantification trust models wireless ad hoc sensor networks

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Using concepts from biology to improve problem-solving methods

Using concepts from biology to improve problem-solving metho...

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conference on evolutionary and bio-inspired computation - theory and applications V

作者： Goodman, Erik D. Rothwell, Edward J. Averill, Ronald C. Michigan State Univ BEACON Ctr Study Evolut Act E Lansing MI 48824 USA Michigan State Univ Dept Elect & Comp Engn E Lansing MI 48824 USA Michigan State Univ Dept Mech Engn E Lansing MI 48824 USA

ISBN: (纸本)9780819486332

Observing nature has been a cornerstone of engineering design. Today, engineers look not only at finished products, but imitate the evolutionary process by which highly optimized artifacts have appeared in nature. evolutionary computation began by capturing only the simplest ideas of evolution, but today, researchers study natural evolution and incorporate an increasing number of concepts in order to evolve solutions to complex engineering problems. At the new BEACON Center for the Study of Evolution in Action, studies in the lab and field and in silico are laying the groundwork for new tools for evolutionary engineering design. This paper, which accompanies a keynote address, describes various steps in development and application of evolutionary computation, particularly as regards sensor design, and sets the stage for future advances.

关键词： bio-inspired design evolutionary computation genetic algorithms evolutionary design antenna design self-structuring antennas metamaterial design

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IR wireless cluster synapses of HYDRA very large neural networks

IR wireless cluster synapses of HYDRA very large neural netw...

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conference on evolutionary and bio-inspired computation - theory and applications II

作者： Jannson, Tomasz Forrester, Thomas Phys Opt Corp Torrance CA 90501 USA

ISBN: (纸本)9780819471550

RF/IR wireless (virtual) synapses are critical components of HYDRA (Hyper-Distributed Robotic Autonomy) neural networks, already discussed in two earlier papers. The HYDRA network has the potential to be very large, up to 10(11)-neurons and 10(18)-synapses, based on already established technologies (cellular RF telephony and IR-wireless LANs). It is organized into almost fully connected IR-wireless clusters. The HYDRA neurons and synapses are very flexible, simple, and low-cost. They can be modified into a broad variety of biologically-inspired brain-like computing capabilities. In this third paper, we focus on neural hardware in general, and on IR-wireless synapses in particular. Such synapses, based on LED/LD-connections, dominate the HYDRA neural cluster.

关键词： bio-inspired neural evolutionary brain infrared synapses

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A Tale of Three bio-inspired computational Approaches

A Tale of Three Bio-inspired Computational Approaches

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conference on Machine Intelligence and bio-inspired computation - theory and applications viII

作者： Schaffer, J. David Binghamton Univ Binghamton NY 13902 USA

ISBN: (纸本)9781628410563

I will provide a high level walk-through for three computational approaches derived from Nature. First, evolutionary computation implements what we may call the "mother of all adaptive processes." Some variants on the basic algorithms will be sketched and some lessons I have gleaned from three decades of working with EC will be covered. Then neural networks, computational approaches that have long been studied as possible ways to make "thinking machines", an old dream of man's, and based upon the only known existing example of intelligence. Then, a little overview of attempts to combine these two approaches that some hope will allow us to evolve machines we could never hand-craft. Finally, I will touch on artificial immune systems, Nature's highly sophisticated defense mechanism, that has emerged in two major stages, the innate and the adaptive immune systems. This technology is finding applications in the cyber security world.

关键词： evolutionary algorithms biomimetics Algorithms Sensors Detection and tracking algorithms Defense and security Neural networks Switches Brain Genetics

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Combined bio-inspired/evolutionary computational methods in cross-layer protocol optimization for wireless ad hoc sensor networks

Combined bio-inspired/evolutionary computational methods in ...

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conference on evolutionary and bio-inspired computation - theory and applications V

作者： Hortos, William S. ACERT Orlando FL 32819 USA

ISBN: (纸本)9780819486332

Published studies have focused on the application of one bio-inspired or evolutionary computational method to the functions of a single protocol layer in a wireless ad hoc sensor network (WSN). For example, swarm intelligence in the form of ant colony optimization (ACO), has been repeatedly considered for the routing of data/information among nodes, a network-layer function, while genetic algorithms (GAs) have been used to select transmission frequencies and power levels, physical-layer functions. Similarly, artificial immune systems (AISs) as well as trust models of quantized data reputation have been invoked for detection of network intrusions that cause anomalies in data and information;these act on the application and presentation layers. Most recently, a self-organizing scheduling scheme inspired by frog-calling behavior for reliable data transmission in wireless sensor networks, termed anti-phase synchronization, has been applied to realize collision-free transmissions between neighboring nodes, a function of the MAC layer. In a novel departure from previous work, the cross-layer approach to WSN protocol design suggests applying more than one evolutionary computational method to the functions of the appropriate layers to improve the QoS performance of the cross-layer design beyond that of one method applied to a single layer's functions. A baseline WSN protocol design, embedding GAs, anti-phase synchronization, ACO, and a trust model based on quantized data reputation at the physical, MAC, network, and application layers, respectively, is constructed. Simulation results demonstrate the synergies among the bio-inspired/evolutionary methods of the proposed baseline design improve the overall QoS performance of networks over that of a single computational method.

关键词： Ant colony optimization (ACO) anti-phase synchronization artificial immune system (AIS) cross-layer protocol genetic algorithm (GA) reputation quantification trust models wireless ad hoc sensor network

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Optimum Design of Antennas Using Metamaterials with the Efficient Global Optimization (EGO) Algorithm

Optimum Design of Antennas Using Metamaterials with the Effi...

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conference on evolutionary and bio-inspired computation - theory and applications IV

作者： Southall, Hugh L. O'Donnell, Terry H. Derov, John S. USAF Res Lab Hanscom AFB MA 01731 USA

ISBN: (纸本)9780819481689

EGO is an evolutionary, data-adaptive algorithm which can be useful for optimization problems with expensive cost functions. Many antenna design problems qualify since complex computational electromagnetics (CEM) simulations can take significant resources. This makes evolutionary algorithms such as genetic algorithms (GA) or particle swarm optimization (PSO) problematic since iterations of large populations are required. In this paper we discuss multi-parameter optimization of a wideband, single-element antenna over a metamaterial ground plane and the interfacing of EGO (optimization) with a full-wave CEM simulation (cost function evaluation).

关键词： Efficient global optimization (EGO) computational electromagnetics (CEM) evolutionary computation antenna design optimization design and analysis of computer experiments (DACE) metamaterials folded triangular bowtie antenna (FTBA) element wideband antenna elements low profile antennas

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A robust regularization algorithm for polynomial networks for machine learning

A robust regularization algorithm for polynomial networks fo...

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conference on evolutionary and bio-inspired computation - theory and applications V

作者： Jaenisch, Holger M. Handley, James W. Johns Hopkins Univ Zanvyl Krieger Sch Baltimore MD 21218 USA

ISBN: (纸本)9780819486332

We present an improvement to the fundamental Group Method of Data Handling (GMDH) Data Modeling algorithm that overcomes the parameter sensitivity to novel cases presented to derived networks. We achieve this result by regularization of the output and using a genetic weighting that selects intermediate models that do not exhibit divergence. The result is the derivation of multi-nested polynomial networks following the Kolmogorov-Gabor polynomial that are robust to mean estimators as well as novel exemplars for input. The full details of the algorithm are presented. We also introduce a new method for approximating GMDH in a single regression model using F, H, and G terms that automatically exports the answers as ordinary differential equations. The MathCAD 15 source code for all algorithms and results are provided.

关键词： GMDH polynomial networks regularization fractal interpolation hidden variable transfer function forecasting evolutionary computing automatic differential equation Data Modeling FHG series modeling

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The multi-objective constrained assignment problem

The multi-objective constrained assignment problem

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conference on evolutionary and bio-inspired computation - theory and applications

作者： Kleeman, Mark P. Lamont, Gary B. USAF Inst Technol Dept Elect & Comp Engn Grad Sch Engn & Management Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9780819466853

Assignment problems are a common area of research in operational research and computer science. Military applications include military personnel assignment, combat radio frequency assignment, and weapon target assignment. In general, assignment problems can be found in a wide array of areas, from modular placement to resource scheduling. Many of these problems are very similar to one another. This paper models and compares some of the assignment problems in literature. These similar problems are then generalized into a generalized multi-objective problem, the constrained assignment problem. Using a multi-objective genetic algorithm, we solve an example of a constrained assignment problem called the airman assignment problem. Results show that good solutions along the interior portion of the Pareto front are found in earlier generations and later generations produce more exterior points.

关键词： Algorithm development evolutionary algorithms Genetic algorithms Defense technologies Mathematical modeling Weapons Computer science Scientific research Unmanned aerial vehicles Computer engineering

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Recent advances and applications of the theory of stochastic convexity. Application to complex bio-inspired and evolution models

Recent advances and applications of the theory of stochastic...

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International conference on evolutionary computation theory and applications, ECTA 2011 and International conference on Fuzzy computation theory and applications, FCTA 2011

作者： Ortega, Eva Maria Alonso, Jose Centro de Investigacion Operativa University Miguel Hernandez Elche 03202 Elche Spain Hospital Universitario Virgen de Arrixaca Servicio Radiologia El Palmar 30012 Murcia Spain

ISBN: (纸本)9789898425836

The theory of stochastic convexity is widely recognised as a framework to analyze the stochastic behaviour of parameterized models by different notions in both univariate and multivariate settings. These properties have been applied in areas as diverse as engineering, biotechnology, and actuarial science. Consider a family of parameterized univariate or multivariate random variables (X(θ)|θ∈ T) over a probability space (Ω,Pr), where the parameter θ usually represents some distribution moments. Regular, sample-path, and strong stochastic convexity notions have been defined to intuitively describe how the random objects X(θ) grow convexly (or concavely) concerning their parameters. These notions were extended to the multivariate case by means of directionally convex functions, yielding the concepts of stochastic directional convexity for multivariate random vectors and multivariate parameters. We aim to explain some of the basic concepts of stochastic convexity, to discuss how this theory has been used into the stochastic analysis, both theoretically and in practice, and to provide some of the recent and of the historically relevant literature on the topic. Finally, we describe some applications to computing/communication systems based on bio-inspired models.

关键词： Stochastic systems

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