LEADER 06913nam 22008535 450 001 996465386103316 005 20200702125050.0 010 $a3-540-46004-7 024 7 $a10.1007/3-540-46004-7 035 $a(CKB)1000000000211680 035 $a(SSID)ssj0000321330 035 $a(PQKBManifestationID)11262344 035 $a(PQKBTitleCode)TC0000321330 035 $a(PQKBWorkID)10279836 035 $a(PQKB)10397147 035 $a(DE-He213)978-3-540-46004-6 035 $a(MiAaPQ)EBC3072745 035 $a(PPN)155200399 035 $a(EXLCZ)991000000000211680 100 $a20121227d2002 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aApplications of Evolutionary Computing$b[electronic resource] $eEvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN Kinsale, Ireland, April 3-4, 2002. Proceedings /$fedited by Stefano Cagnoni, Jens Gottlieb, Emma Hart, Martin Middendorf, Günther R. Raidl 205 $a1st ed. 2002. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2002. 215 $a1 online resource (XIV, 346 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v2279 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-43432-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aEvoCOP 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. 330 $aThis book constitutes the refereed proceedings of three workshops on the application of evolutionary programming and algorithms in various domains; these workshops were held in conjunction with the 5th European Conference on Genetic Programming, EuroGP 2002, in Kinsale, Ireland, in April 2002. The 33 revised full papers presented were carefully reviewed and selected by the respective program committees. In accordance with the three workshops EvoCOP, EvoIASP, and EvoSTIM/EvoPLAN, the papers are organized in topical sections on combinatorial optimization problems; image analysis and signal processing; and scheduling, timetabling, and AI planning. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v2279 606 $aComputer programming 606 $aArtificial intelligence 606 $aAlgorithms 606 $aComputer science?Mathematics 606 $aOptical data processing 606 $aPattern recognition 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aDiscrete Mathematics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17028 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aComputer programming. 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 0$aComputer science?Mathematics. 615 0$aOptical data processing. 615 0$aPattern recognition. 615 14$aProgramming Techniques. 615 24$aArtificial Intelligence. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 676 $a006.3 702 $aCagnoni$b Stefano$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGottlieb$b Jens$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHart$b Emma$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMiddendorf$b Martin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRaidl$b Günther R$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aEvoWorkshops 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465386103316 996 $aApplications of Evolutionary Computing$9772099 997 $aUNISA