05183nam 22007215 450 99646611510331620200702130733.03-540-47515-X10.1007/3-540-60469-3(CKB)1000000000234358(SSID)ssj0000323012(PQKBManifestationID)11247862(PQKBTitleCode)TC0000323012(PQKBWorkID)10296092(PQKB)10576482(DE-He213)978-3-540-47515-6(PPN)155208381(EXLCZ)99100000000023435820121227d1995 u| 0engurnn|008mamaatxtccrEvolutionary Computing[electronic resource] AISB Workshop, Sheffield, U.K., April 3 - 4, 1995. Selected Papers /edited by Terence C. Fogarty1st ed. 1995.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,1995.1 online resource (VIII, 272 p.) Lecture Notes in Computer Science,0302-9743 ;993Bibliographic Level Mode of Issuance: Monograph3-540-60469-3 Some 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.This 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.Lecture Notes in Computer Science,0302-9743 ;993ComputersArtificial intelligenceMathematical modelsAlgorithmsPattern recognitionTheory of Computationhttps://scigraph.springernature.com/ontologies/product-market-codes/I16005Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Mathematical Modeling and Industrial Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/M14068Computation by Abstract Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/I16013Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XComputers.Artificial intelligence.Mathematical models.Algorithms.Pattern recognition.Theory of Computation.Artificial Intelligence.Mathematical Modeling and Industrial Mathematics.Computation by Abstract Devices.Algorithm Analysis and Problem Complexity.Pattern Recognition.006.3Fogarty Terence Cedthttp://id.loc.gov/vocabulary/relators/edtAISB WorkshopBOOK996466115103316Evolutionary computing1487543UNISA