BibSonomy publications for /author/EberhartTue Feb 14 00:00:00 CET 2012ISWC Posters&Demosconf/semweb/2010pdCEUR Workshop ProceedingsThe eCloudManager Intelligence Edition - Semantic Technologies for Enterprise Cloud Management.6582010dblp Mon Dec 12 19:01:17 CET 2011Washington, DC, USAProceedings of IEEE International Conference on Neural NetworksNovember1942--1948{Particle Swarm Optimization}41995A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Benchmark testing of the paradigm is described, and applications, including nonlinear function optimization and neural network training, are proposed. The relationships between particle swarm optimization and both artificial life and genetic algorithms are described.Mon Dec 12 19:01:16 CET 2011AprilSwarm Intelligence2001Mon Dec 12 19:01:16 CET 2011Washington, DC, USAProceedings of the IEEE International Conference on Systems, Man, and CyberneticsOctober4104--4108{A Discrete Binary Version of the Particle Swarm Algorithm}51997The particle swarm algorithm adjusts the trajectories of a population of “particles” through a problem space on the basis of information about each particle's previous best performance and the best previous performance of its neighbors. Previous versions of the particle swarm have operated in continuous space, where trajectories are defined as changes in position on some number of dimensions. The paper reports a reworking of the algorithm to operate on discrete binary variables. In the binary version, trajectories are changes in the probability that a coordinate will take on a zero or one value. Examples, applications, and issues are discussed.Mon Dec 12 19:00:56 CET 2011Washington, DC, USAProceedings of IEEE International Conference on Evolutionary ComputationMay69--73{A Modified Particle Swarm Optimizer}1998In this paper, we introduce a new parameter, called inertia weight, into the orihinal particle swarm optimizer. Simulation have been done to illustrate the significant and effective impact of this new parameter on the particle swarm optimizer.Mon Oct 31 00:00:00 CET 2011IEEE Trans. Evolutionary Computation3201-203Guest Editorial Special Issue on Particle Swarm Optimization.82004dblp Thu Sep 22 00:00:00 CEST 2011Foundations for the Web of Information and Servicesconf/birthday/2011studer239-251Semantic Technologies and Cloud Computing.2011dblp Wed Aug 10 00:00:00 CEST 2011Middlewareconf/middleware/2004459-477Lecture Notes in Computer ScienceDeveloping and Managing Software Components in an Ontology-Based Application Server.32312004dblp Tue Aug 09 16:33:51 CEST 2011Middleware 200410.1007/978-3-540-30229-2_24459-477Lecture Notes in Computer ScienceDeveloping and Managing Software Components in an Ontology-Based Application Server32312004imported Thu Aug 04 00:00:00 CEST 2011International Semantic Web Conferenceconf/semweb/2004502-517Lecture Notes in Computer ScienceA Comparison of RDF Query Languages.32982004dblp Thu Aug 04 00:00:00 CEST 2011International Semantic Web Conferenceconf/semweb/2004198-213Lecture Notes in Computer ScienceVisual Modeling of OWL DL Ontologies Using UML.32982004dblp Fri Jul 08 00:00:00 CEST 2011Inf. Process. Manage.169-85Database Tomography for Technical Intelligence: A Roadmap of the Near-Earth Space Science and Technology Literature.341998dblp Thu Jul 07 00:00:00 CEST 2011Praxis der Informationsverarbeitung und Kommunikation3145-151Semantics for Service Oriented Architectures.272004dblp Thu Jun 30 00:00:00 CEST 2011International Semantic Web Conferenceconf/semweb/2002102-116Lecture Notes in Computer ScienceAutomatic Generation of Java/SQL Based Inference Engines from RDF Schema and RuleML.23422002dblp Wed Jun 29 00:00:00 CEST 2011Bioinformatics131730-1731Web-based exchange of biochemical information.192003dblp Thu Jun 16 00:00:00 CEST 2011Evolutionary Programmingconf/eps/1998611-616Lecture Notes in Computer ScienceComparison between Genetic Algorithms and Particle Swarm Optimization.14471998dblp Thu Jun 16 00:00:00 CEST 2011Evolutionary Programmingconf/eps/1998591-600Lecture Notes in Computer ScienceParameter Selection in Particle Swarm Optimization.14471998dblp Tue May 31 00:00:00 CEST 2011GI Jahrestagung (2)conf/gi/2004-2579-583LNIOntology based Specification of Web Service Policies.512004dblp Wed May 25 00:00:00 CEST 2011Procedia CS627-636A-R-E: The Author-Review-Execute Environment.42011dblp Sat Apr 30 17:44:15 CEST 2011Computers \& Geosciencesaug7809--818{Local earthquake tomography with flexible gridding}251999tomography geophysics imaging inversion seismology methods {In local earthquake tomography (LET) problems, the spatial resolution of velocity structure varies significantly in a model due to the naturally heterogeneous distribution of earthquake sources. We present a flexible gridding strategy for tailoring the velocity model parameterization to the dataset being analyzed. The strategy combines regular gridding with two forms of node 'linking' to allow for finer-scale resolution where warranted by the data, to provide improved model stability where resolution is relatively poor and to allow for the incorporation of a priori information on structure, for example the location of significant discontinuities. Flexible gridding has been incorporated into a widely-used LET inversion algorithm. The inversion approach is documented along with a discussion of other recent advances and improvements to the algorithm. We discuss various situations in which flexible gridding can be useful. An example application of flexible gridding to a dataset from the San Andreas fault in central California illustrates how the approach can yield a sharper image of the fault while at the same time improving the overall quality of the model and the fit to the data.}