Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) /
| Autor Corporativo: | |
|---|---|
| Otros Autores: | , , , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
|
| Edición: | 1st ed. 2010. |
| Colección: | Studies in Computational Intelligence,
284 |
| Materias: |
Tabla de Contenidos:
- A Metabolic Subsumption Architecture for Cooperative Control of the e-Puck
- Social Target Localization in a Population of Foragers
- Using Knowledge Discovery in Cooperative Strategies: Two Case Studies
- Hybrid Cooperation Models for the Tool Switching Problem
- Fault Diagnosis in Industrial Systems Using Bioinspired Cooperative Strategies
- A New Metaheuristic Bat-Inspired Algorithm
- Evaluation of a Catalytic Search Algorithm
- Discovering Beneficial Cooperative Structures for the Automated Construction of Heuristics
- Eagle Strategy Using Lévy Walk and Firefly Algorithms for Stochastic Optimization
- CO2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price
- 3D Cell Pattern Generation in Artificial Development
- Partial Imitation Rule in Iterated Prisoner Dilemma Game on a Square Lattice
- A Dynamical Game Model for Sustainable Development
- Studying the Influence of the Objective Balancing Parameter in the Performance of a Multi-Objective Ant Colony Optimization Algorithm
- HC12: Highly Scalable Optimisation Algorithm
- Adaptive Evolutionary Testing: An Adaptive Approach to Search-Based Test Case Generation for Object-Oriented Software
- Evolutionary Algorithms for Planar MEMS Design Optimisation: A Comparative Study
- A Distributed Service Oriented Framework for Metaheuristics Using a Public Standard
- Cellular Genetic Algorithm on Graphic Processing Units
- Evolutionary Approaches to Joint Nash – Pareto Equilibria
- Accelerated Genetic Algorithms with Markov Chains
- Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms
- Structural Versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification
- Artificial Bee Colony Optimization: A New Selection Scheme and Its Performance
- A Heuristic-Based Bee Colony Algorithm for the Multiprocessor Scheduling Problem
- A Bumble Bees Mating Optimization Algorithm for Global Unconstrained Optimization Problems
- A Neural-Endocrine Architecture for Foraging in Swarm Robotic Systems
- Using Entropy for Evaluating Swarm Intelligence Algorithms
- Empirical Study of Performance of Particle Swarm Optimization Algorithms Using Grid Computing
- Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures
- Improvement Strategies for Multi-swarm PSO in Dynamic Environments
- Particle Swarm Optimization Based Tuning of Genetic Programming Evolved Classifier Expressions.