Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) - neues Buch

EAN (ISBN-13): 9783540789871
Erscheinungsjahr: 2007
Herausgeber: Springer-Verlag GmbH

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ISBN/EAN: 9783540789871

ISBN - alternative Schreibweisen:
978-3-540-78987-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Titel des Buches: nature 2007, inspired

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Daten vom Verlag:

Autor/in: Natalio Krasnogor; Vincenzo Nicosia; Mario Pavone; David Alejandro Pelta
Titel: Studies in Computational Intelligence; Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)
Verlag: Springer; Springer Berlin
520 Seiten
Erscheinungsjahr: 2008-06-03
Berlin; Heidelberg; DE
Sprache: Englisch
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XIV, 520 p.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Computational Intelligence; Evolution; Nature Inspired Cooperative Strategies; Optimization; architecture; combinatorial optimization; evolutionary algorithm; genetic algorithms; heuristics; intelligence; learning; metaheuristic; natural language; neural network; robot; C; Artificial Intelligence; Mathematical and Computational Engineering Applications; Engineering; Mathematik für Ingenieure; BC

A 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 ofVarious 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.
Presents latest results in Nature Inspired Cooperative Strategies for Optimization