Real-world applications of evolutionary computing : EvoWorkshops 2000 : EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, Edinburgh, Scotland, UK, April 17, 2000 : proceedings
The increasingly active eld of Evolutionary Computation (EC) provides val- ble tools, inspired by the theory of natural selection and genetic inheritance, to problem solving, machine learning, and optimization in many real-world app- cations. Despite some early intuitions about EC, that can be dated...
Kaydedildi:
| Müşterek Yazar: | |
|---|---|
| Diğer Yazarlar: | |
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Seri Bilgileri: | Lecture notes in computer science
1803 |
| Konular: | |
| 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: | • Real-world applications of evolutionary computing, EvoWorkshops 2000, EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, Edinburgh, Scotland, UK, April 2000, proceedings, Stefano Cagnoni et al. (eds.), 2000, New York, Springer, 1 vol. (XII-396 p.), Lecture notes in computer science, 3-540-67353-9 • Real-World Applications of Evolutionary Computing, Texte imprimé, 9783662204313 |
İçindekiler:
- EvoIASP Talks
- Special Purpose Image Convolution with Evolvable Hardware
- Stereoscopic Vision for a Humanoid Robot Using Genetic Programming
- A Faster Genetic Clustering Algorithm
- Scene Interpretation using Semantic Nets and Evolutionary Computation
- Evolutionary Wavelet Bases in Signal Spaces
- EvoIASP Posters
- Finding Golf Courses: The Ultra High Tech Approach
- Sound Localization for a Humanoid Robot by Means of Genetic Programming
- On the Scalability of Genetic Algorithms to Very Large-Scale Feature Selection
- Combining Evolutionary, Connectionist, and Fuzzy Classification Algorithms for Shape Analysis
- Experimental Determination of Drosophila Embryonic Coordinates by Genetic Algorithms, the Simplex Method, and Their Hybrid
- EvoSCONDI Papers
- A Genetic Algorithm with Local Search for Solving Job Problems
- Distributed Learning Control of Traffic Signals
- Time Series Prediction by Growing Lateral Delay Neural Networks
- Trajectory Controller Network and Its Design Automation through Evolutionary Computing
- Evolutionary Computation and Nonlinear Programming in Multi-model-robust Control Design
- Benchmarking Cost-Assignment Schemes for Multi-objective Evolutionary Algorithms
- Automatic Synthesis of Both the Topology and Parameters for a Controller for a Three-Lag Plant with a Five-Second Delay Using Genetic Programming
- Automatic Design of Multivariable QFT Control System via Evolutionary Computation
- Development of Power Transformer Thermal Models for Oil Temperature Prediction
- EvoTel Talks
- Automatic Validation of Protocol Interfaces Described in VHDL
- Evolutive Modeling of TCP/IP Network Traffic for Intrusion Detection
- Multimodal Performance Profiles on the Adaptive Distributed Database Management Problem
- Protocol Construction Using GeneticSearch Techniques
- EvoTel Posters
- Prediction of Power Requirements for High-Speed Circuits
- A Communication Architecture for Multi-Agent Learning Systems
- EvoSTIM Papers
- An Ambulance Crew Rostering System
- A Systematic Investigation of GA Performance on Jobshop Scheduling Problems
- An Ant Algorithm with a New Pheromone Evaluation Rule for Total Tardiness Problems
- A New Genetic Representation and Common Cluster Crossover for Job Shop Scheduling Problems
- Optimising an Evolutionary Algorithm for Scheduling
- EvoRob Papers
- On-line Evolution of Control for a Four-Legged Robot Using Genetic Programming
- Optimized Collision Free Robot Move Statement Generation by the Evolutionary Software GLEAM
- Self-Adaptive Mutation in ZCS Controllers
- Using a Hybrid Evolutionary-A* Approach for Learning Reactive Behaviours
- EvoFlight Papers
- Supervised Evolutionary Methods in Aerodynamic Design Optimisation
- An Evolutionary Algorithm for Large Scale Set Covering Problems with Application to Airline Crew Scheduling
- Design, Implementation, and Application of a Tool for Optimal Aircraft Positioning.