Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)

Biological 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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Krasnogor, Natalio (Επιμελητής έκδοσης), Nicosia, Giuseppe (Επιμελητής έκδοσης), Pavone, Mario (Επιμελητής έκδοσης), Pelta, David (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Σειρά:Studies in Computational Intelligence, 129
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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 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.