000 06970nam a22004095i 4500
001 298586
003 MX-SnUAN
005 20170705134243.0
007 cr nn 008mamaa
008 150903s2008 gw | o |||| 0|eng d
020 _a9783540789871
_99783540789871
024 7 _a10.1007/9783540789871
_2doi
035 _avtls000351772
039 9 _a201509030930
_bVLOAD
_c201405060255
_dVLOAD
_y201402171145
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA329-348
100 1 _aKrasnogor, Natalio.
_eeditor.
_9335061
245 1 0 _aNature Inspired Cooperative Strategies for Optimization (NICSO 2007) /
_cedited by Natalio Krasnogor, Giuseppe Nicosia, Mario Pavone, David Pelta.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v129
500 _aSpringer eBooks
505 0 _aA Preliminary Study of Fitness Inheritance in Evolutionary Constrained Optimization -- Probabilistically Guided Prefix Gene Expression Programming -- Flocking-based Document Clustering on the Graphics Processing Unit -- Artificial Immune System for Collaborative Spam Filtering -- MP Systems and Hybrid Petri Nets -- Spatial Sorting of Binary Metadata Documents via Nature-Inspired Agents in Grids -- hCHAC-4, an ACO Algorithm for Solving the Four-Criteria Military Path-finding Problem -- Searching Ground States of Ising Spin Glasses with Genetic Algorithms and Binary Particle Swarm Optimization -- A Hybrid System of Nature Inspired Metaheuristics -- ESCA: A New Evolutionary-Swarm Cooperative Algorithm -- Stabilizing Swarm Intelligence Search via Positive Feedback Resource Allocation -- An Adaptive Metaheuristic for the Simultaneous Resolution of a Set of Instances -- Honey Bees Mating Optimization Algorithm for the Vehicle Routing Problem -- Self-Organization on Silicon: System Integration of a Fixed-Point Swarm Coprocessor -- Dynamic Adaptation of Genetic Operators’ Probabilities -- Cooperative Co-evolution Inspired Operators for Classical GP Schemes -- Biologically Inspired Clustering: Comparing the Neural and Immune Paradigms -- CODEA: An Architecture for Designing Nature-inspired Cooperative Decentralized Heuristics -- Memetic Algorithm for the Generalized Asymmetric Traveling Salesman Problem -- Particle Swarm Based Collective Searching Model for Adaptive Environment -- Central Force Optimization: A New Nature Inspired Computational Framework for Multidimensional Search and Optimization -- Social Impact based Approach to Feature Subset Selection -- Influence of Different Deviations Allowed for Equality Constraints on Particle Swarm Optimization and Differential Evolution -- Efficiency of Various Stochastic Optimization Algorithms in High Frequency Electromagnetic Applications -- Learning Classifier System with Self-adaptive Discovery Mechanism -- An Approach to Genome Statistics Inspired by Stochastic or Quantum Models of Computing: A Survey -- Learning Robust Dynamic Networks in Prokaryotes by Gene Expression Networks Iterative Explorer (GENIE) -- Discrete Particle Swarm Optimization for the Minimum Labelling Steiner Tree Problem -- Ant Colony Cooperative Strategy in Electrocardiogram and Electroencephalogram Data Clustering -- A Surface Tension and Coalescence Model for Dynamic Distributed Resources Allocation in Massively Parallel Processors on-Chip -- Cooperative Learning Sensitive Agent System for Combinatorial Optimization -- A Hybrid Genetic Algorithm for the Travelling Salesman Problem -- A BioInspired Model for Parsing of Natural Languages -- An Evolutionary Approach for Performing Structural Unit-Testing on Third-Party Object-Oriented Java Software -- Adaptive Spatial Allocation of Resource for Parallel Genetic Algorithm -- Implementation of Massive Parallel Networks of Evolutionary Processors (MPNEP): 3-Colorability Problem -- Multi-Constraints Routing Algorithm Based on Swarm Intelligence over High Altitude Platforms -- A Genetic Algorithm Framework Applied to Quantum Circuit Synthesis -- Semantic Distillation: A Method for Clustering Objects by their Contextual Specificity -- UPlanIT: An Evolutionary Based Production Planning and Scheduling System -- Performance Analysis of Turning Process via Particle Swarm Optimization -- Automatic Selection for the Beta Basis Function Neural Networks -- Evolvable Hardware: A Problem of Generalization Which Works Best: Large Population Size and Small Number of Generations or visa versa? -- Detecting Hierarchical Organization in Complex Networks by Nearest Neighbor Correlation -- A Genetic Algorithm Based on Complex Networks Theory for the Management of Airline Route Networks -- GAHC: Improved Genetic Algorithm.
520 _aBiological and natural processes have been a continuous source of inspiration for the sciences and engineering. For instance, the work of Wiener in cybernetics was influenced by feedback control processes observable in biological systems; McCulloch and Pitts description of the artificial neuron was instigated by biological observations of neural mechanisms; the idea of survival of the fittest inspired the field of evolutionary algorithms and similarly, artificial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The second International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), was held in Acireale, Italy, during November 8-10, 2007. The aim for NICSO 2007 was to provide a forum were the latest ideas and state of the art research related to cooperative strategies for problem solving arising from Nature could be discussed. The contributions collected in this book were strictly peer reviewed by at least three members of the international programme committee, to whom we are indebted for their support and assistance. The topics covered by the contributions include several well established nature inspired techniques like Genetic Algorithms, Ant Colonies, Artificial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aNicosia, Giuseppe.
_eeditor.
_9331026
700 1 _aPavone, Mario.
_eeditor.
_9335062
700 1 _aPelta, David.
_eeditor.
_9335063
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783540789864
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-78987-1
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c298586
_d298586