LEADER 05272nam 22007455 450 001 996465855803316 005 20200704231632.0 010 $a3-540-70671-2 024 7 $a10.1007/BFb0032768 035 $a(CKB)1000000000234531 035 $a(SSID)ssj0000323013 035 $a(PQKBManifestationID)11247863 035 $a(PQKBTitleCode)TC0000323013 035 $a(PQKBWorkID)10296239 035 $a(PQKB)10153692 035 $a(DE-He213)978-3-540-70671-7 035 $a(PPN)155212931 035 $a(EXLCZ)991000000000234531 100 $a20121227d1996 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEvolutionary Computing$b[electronic resource] $eAISB Workshop, Brighton, U.K., April 1 - 2, 1996. Selected Papers /$fedited by Terence C. Fogarty 205 $a1st ed. 1996. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1996. 215 $a1 online resource (CCCXXIV, 315 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v1143 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-61749-3 327 $aFast evolutionary learning of minimal radial basis function neural networks using a genetic algorithm -- Evolutionary design of synthetic routes in chemistry -- A genetic algorithm for job-shop problems with various schedule quality criteria -- Two applications of genetic algorithms to component design -- Characterizing signal behaviour using genetic programming -- Spatial reasoning with genetic algorithms an application in planning of safe Liquid Petroleum Gas sites -- Restricted evaluation genetic algorithms with Tabu search for optimising Boolean functions as multi-level AND-EXOR networks -- Generation of structured process models using Genetic Programming -- Genetic Programming for feature detection and image segmentation -- A temporal view of selection and populations -- Evolving software test data ? GA's learn self expression -- Efficient Evolution Strategies for Exploration in mobile robotics -- Learning the ?next? dimension -- Global selection methods for massively parallel computers -- Investigating multiploidy's niche -- Evolutionary divide and conquer for the set-covering problem -- The simulation of localised interaction and learning in artificial adaptive agents -- The Royal Road functions: description, intent and experimentation -- Adaptive Restricted Tournament Selection for the identification of multiple sub-optima in a multi-modal function -- Analysis of possible genome-dependence of mutation rates in genetic algorithms -- Inoculation to initialise evolutionary search -- Co-evolution of operator settings in genetic algorithms -- A comparative study of steady state and generational genetic algorithms for use in nonstationary environments. 330 $aThis book contains a selection of papers presented at a workshop on evolutionary computing sponsored by the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB, at the University of Sussex in Brighton, UK, in April 1996. The 22 revised full papers included in the book, together with one invited contribution, were carefully reviewed by the program committee. Twelve contributions investigate applications of evolutionary computing in various areas, such as learning, scheduling, searching, genetic programming, image processing, and robotics. Eleven papers are devoted to evolutionary computing theory and techniques. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v1143 606 $aComputers 606 $aEvolutionary biology 606 $aAlgorithms 606 $aArtificial intelligence 606 $aBioinformatics  606 $aComputational biology  606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aEvolutionary Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L21001 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004 615 0$aComputers. 615 0$aEvolutionary biology. 615 0$aAlgorithms. 615 0$aArtificial intelligence. 615 0$aBioinformatics . 615 0$aComputational biology . 615 14$aTheory of Computation. 615 24$aEvolutionary Biology. 615 24$aComputation by Abstract Devices. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aArtificial Intelligence. 615 24$aComputer Appl. in Life Sciences. 676 $a006.3 702 $aFogarty$b Terence C$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aAISB Workshop 906 $aBOOK 912 $a996465855803316 996 $aEvolutionary computing$91487543 997 $aUNISA