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...
Kaydedildi:
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| Diğer Yazarlar: | , , |
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2008. |
| Seri Bilgileri: | Studies in Computational Intelligence
129 |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), Texte imprimé, 9783540789864 • Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), Texte imprimé, 9783540871682 • Nature inspired cooperative strategies for optimization, NICSO 2007, [edited by] Natalio Krasnogor, Giuseppe Nicosia, Mario Pavone... [et al.], Berlin, Springer, 2010, 1 vol. (XIV-520 p.), Studies in computational intelligence, 978-3-642-09779-9 • Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), Texte imprimé, 9783540789864 |
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| 100 | 1 | |a Krasnogor, Natalio. | |
| 245 | 1 | 0 | |a Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) |c edited by Natalio Krasnogor, Giuseppe Nicosia, Mario Pavone, David Pelta. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 129 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 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 | ||
| 700 | 1 | |a Nicosia, Giuseppe. |4 pbd | |
| 700 | 1 | |a Pavone, Mario F., |d 19..-...., |c informaticien. |4 pbd | |
| 700 | 1 | |a Pelta, David Alejandro. |4 pbd | |
| 776 | 0 | |t Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) |b Texte imprimé |z 9783540789864 | |
| 776 | 0 | |t Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) |b Texte imprimé |z 9783540871682 | |
| 776 | 0 | |0 150212356 |t Nature inspired cooperative strategies for optimization |o NICSO 2007 |f [edited by] Natalio Krasnogor, Giuseppe Nicosia, Mario Pavone... [et al.] |c Berlin |n Springer |d 2010 |p 1 vol. (XIV-520 p.) |s Studies in computational intelligence |z 978-3-642-09779-9 | |
| 776 | 0 | |t Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) |b Texte imprimé |z 9783540789864 | |
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