Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)
The inspiration from Biology and the Natural Evolution process has become a research area within computer science. For instance, the description of the artificial neuron given by McCulloch and Pitts was inspired from biological observations of neural mechanisms; the power of evolution in nature in t...
Αποθηκεύτηκε σε:
| Άλλοι συγγραφείς: | , , , , |
|---|---|
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Έκδοση: | 1st ed. 2009. |
| Σειρά: | Studies in Computational Intelligence
236 |
| Διαθέσιμο Online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Σημείωση: |
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 2008), Texte imprimé, 9783642032103 • Nature Inspired Cooperative Strategies for Optimization (NICSO 2008), Texte imprimé, 9783642032127 • Nature Inspired Cooperative Strategies for Optimization (NICSO 2008), Texte imprimé, 9783642032103 • Nature Inspired Cooperative Strategies for Optimization (NICSO 2008), Texte imprimé, 9783642260346 |
Πίνακας περιεχομένων:
- Exploration in Stochastic Algorithms: An Application on Ant System Sensitive Ants: Inducing Diversity in the Colony Decentralised Communication and Connectivity in Ant Trail Networks Detection of Non-structured Roads Using Visible and Infrared Images and an Ant Colony Optimization Algorithm A Nature Inspired Approach for the Uncapacitated Plant Cycle Location Problem Particle Swarm Topologies for Resource Constrained Project Scheduling Discrete Particle Swarm Optimization Algorithm for Data Clustering A Simple Distributed Particle Swarm Optimization for Dynamic and Noisy Environments Exploring Feasible and Infeasible Regions in the Vehicle Routing Problem with Time Windows Using a Multi-objective Particle Swarm Optimization Approach Two-Swarm PSO for Competitive Location Problems Aerodynamic Wing Optimisation Using SOMA Evolutionary Algorithm Experimental Analysis of a Variable Size Mono-population Cooperative-Coevolution Strategy Genetic Algorithm for Tardiness Minimization in Flowshop with Blocking Landscape Mapping by Multi-population Genetic Algorithm An Interactive Simulated Annealing Multi-agents Platform to Solve Hierarchical Scheduling Problems with Goals Genetic Algorithm and Advanced Tournament Selection Concept Terrain-Based Memetic Algorithms for Vector Quantizer Design Cooperating Classifiers Evolutionary Multimodal Optimization for Nash Equilibria Detection On the Computational Properties of the Multi-Objective Neural Estimation of Distribution Algorithm Optimal Time Delay in the Control of Epidemic Parallel Hypervolume-Guided Hyperheuristic for Adapting the Multi-objective Evolutionary Island Model A Cooperative Strategy for Guiding the Corridor Method On the Performance of Homogeneous and Heterogeneous Cooperative Search Strategies