LEADER 05183nam 22007215 450 001 996466115103316 005 20200702130733.0 010 $a3-540-47515-X 024 7 $a10.1007/3-540-60469-3 035 $a(CKB)1000000000234358 035 $a(SSID)ssj0000323012 035 $a(PQKBManifestationID)11247862 035 $a(PQKBTitleCode)TC0000323012 035 $a(PQKBWorkID)10296092 035 $a(PQKB)10576482 035 $a(DE-He213)978-3-540-47515-6 035 $a(PPN)155208381 035 $a(EXLCZ)991000000000234358 100 $a20121227d1995 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEvolutionary Computing$b[electronic resource] $eAISB Workshop, Sheffield, U.K., April 3 - 4, 1995. Selected Papers /$fedited by Terence C. Fogarty 205 $a1st ed. 1995. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1995. 215 $a1 online resource (VIII, 272 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v993 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-60469-3 327 $aSome combinatorial landscapes on which a Genetic Algorithm outperforms other Stochastic iterative methods -- Maximum entropy analysis of genetic algorithm operators -- The ant colony metaphor for searching continuous design spaces -- Broadcast based fitness sharing GA for conflict resolution among autonomous robots -- An adaptive poly-parental recombination strategy -- Neighbourhood seeding to reduce problem modality -- Specialised recombinative operators for timetabling problems -- The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms -- Comparing genetic algorithms, simulated annealing, and stochastic hillclimbing on timetabling problems -- Evolutionary learning in computational ecologies: An application to adaptive distributed routing in communication networks -- The radio link frequency assignment problem: A case study using genetic algorithms -- Scheduling planned maintenance of the national grid -- Genetic operators and constraint handling for pipe network optimization -- A multi-objective approach to constrained optimisation of gas supply networks: The COMOGA method -- Ternary decision diagram optimisation of Reed-Muller logic functions using a genetic algorithm for variable and simplification rule ordering -- An evolutionary algorithm for parametric array signal processing -- Constraints on task and search complexity in GA+NN models of learning and adaptive behaviour -- Load balancing application of the genetic algorithm in a nonstationary environment -- Exploring some commercial applications of genetic programming. 330 $aThis volume is based on the Workshop on Evolutionary Computing held in Sheffield, U.K., in April 1995 under the sponsorship of the Society for the Study of Artificial Intelligence and Simulation of Behavior (AISB). The 18 full papers presented were selected during a post-workshop refereeing meeting and chosen from 32 submissions for the workshop. The papers are organized in sections on evolutionary computing theory and techniques, timetabling, routing and scheduling, optimization, signal processing and control, and genetic programming. The collection of papers has a certain bias towards real world applications of evolutionary computing and particularly genetic algorithms. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v993 606 $aComputers 606 $aArtificial intelligence 606 $aMathematical models 606 $aAlgorithms 606 $aPattern recognition 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematical Modeling and Industrial Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M14068 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 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aComputers. 615 0$aArtificial intelligence. 615 0$aMathematical models. 615 0$aAlgorithms. 615 0$aPattern recognition. 615 14$aTheory of Computation. 615 24$aArtificial Intelligence. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aComputation by Abstract Devices. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aPattern Recognition. 676 $a006.3 702 $aFogarty$b Terence C$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aAISB Workshop 906 $aBOOK 912 $a996466115103316 996 $aEvolutionary computing$91487543 997 $aUNISA