Applications of Evolutionary Computing - neues Buch

EAN (ISBN-13): 9783540434320
ISBN (ISBN-10): 3540434321
Taschenbuch
Erscheinungsjahr: 2002
Herausgeber: Springer Berlin
360 Seiten
Gewicht: 0,544 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-05-13T10:58:38+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-01-31T14:35:49+01:00 (Berlin)
ISBN/EAN: 9783540434320

ISBN - alternative Schreibweisen:
3-540-43432-1, 978-3-540-43432-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: middendorf, martin hart, günther martin, gunther gottlieb, cagnoni, günter jens, stefano, midden, emma hart, stefan günther
Titel des Buches: applications evolutionary computing, ireland her own, computer applications, evolution, kinsale, april april april april april april april 2002 april april april april april april april april april april april april april april april april april april, lecture notes computer science, die isepiptesen rußlands, proceedings

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Daten vom Verlag:

Autor/in: Stefano Cagnoni; Jens Gottlieb; Emma Hart; Martin Middendorf; Günther R. Raidl
Titel: Lecture Notes in Computer Science; Applications of Evolutionary Computing - EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN Kinsale, Ireland, April 3-4, 2002. Proceedings
Verlag: Springer; Springer Berlin
346 Seiten
Erscheinungsjahr: 2002-03-20
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XIV, 346 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Computerprogrammierung und Softwareentwicklung; Verstehen; LA; algorithm; algorithms; artificial intelligence; combinatorial optimization; evolution; evolutionary computation; genetic programming; image analysis; optimization; programming; scheduling; algorithm analysis and problem complexity; Programming Techniques; Artificial Intelligence; Algorithms; Discrete Mathematics in Computer Science; Computer Vision; Automated Pattern Recognition; Künstliche Intelligenz; Algorithmen und Datenstrukturen; Mathematik für Informatiker; Diskrete Mathematik; Maschinelles Sehen, Bildverstehen; Mustererkennung; EA

EvoCOP Talks.- Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation.- SavingsAnts for the Vehicle Routing Problem.- Updating ACO Pheromones Using Stochastic Gradient Ascent and Cross-Entropy Methods.- Non-parametric Estimation of Properties of Combinatorial Landscapes.- Performance of Evolutionary Approaches for Parallel Task Scheduling under Different Representations.- A Performance Comparison of Alternative Heuristics for the Flow Shop Scheduling Problem.- Exploiting Fitness Distance Correlation of Set Covering Problems.- A Population Based Approach for ACO.- Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation.- Application of Genetic Algorithms in Nanoscience: Cluster Geometry Optimization.- A Memetic Algorithm for Vertex-Biconnectivity Augmentation.- Genetic, Iterated and Multistart Local Search for the Maximum Clique Problem.- An Experimental Investigation of Iterated Local Search for Coloring Graphs.- Solving Car Sequencing Problems by Local Optimization.- Evolution Strategies, Network Random Keys, and the One-Max Tree Problem.- Evolutionary Computational Approaches to Solving the Multiple Traveling Salesman Problem Using a Neighborhood Attractor Schema.- Boosting ACO with a Preprocessing Step.- A Memetic Algorithm Guided by Quicksortfor the Error-Correcting Graph Isomorphism Problem.- EvoIASP Talks.- Evolutionary Techniques for Minimizing Test Signals Application Time.- Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming.- Using EAs for Error Prediction in Near Infrared Spectroscopy.- The Prediction of Journey Times on Motorways Using Genetic Programming.- The Boru Data Crawler for Object Detection Tasks in Machine Vision.- Surface Profile Reconstruction from Scattered Intensity Data Using Evolutionary Strategies.- Detection of Incidents on Motorways in Low Flow High Speed Conditions by Genetic Programming.- Image Filter Design with Evolvable Hardware.- A Dynamic Fitness Function Applied to Improve the Generalisation when Evolving a Signal Processing Hardware Architecture.- Efficiently Computable Fitness Functions for Binary Image Evolution.- Evolutionary Based Autocalibration from the Fundamental Matrix.- Medical Image Registration Using Parallel Genetic Algorithms.- EvoSTIM/EvoPLAN Talks.- Disruption Management for an Airline — Rescheduling of Aircraft.- Ant Colony Optimization with the Relative Pheromone Evaluation Method.- Improving Street Based Routing Using Building Block Mutations.
Includes supplementary material: sn.pub/extras