Boyer et al., 2001 - Google Patents
Genetic algorithm with crossover based on confidence interval as an alternative to traditional nonlinear regression methodsBoyer et al., 2001
View PDF- Document ID
- 18390240771016078289
- Author
- Boyer D
- Martéinez C
- Péerez J
- Publication year
- Publication venue
- Paper presented at the Proceedings of the European Symposium on Artificial Neural Networks, D-Facto, Bruges, Belgium
External Links
Snippet
Most processes in the real world are controlled by nonlinear models. This explains the interest of the scientific community in the development of new methods to estimate the parameters of nonlinear models that allow the modelling of such processes. In this article we …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dasgupta et al. | Designing application-specific neural networks using the structured genetic algorithm | |
| Levitin | The universal generating function in reliability analysis and optimization | |
| Gong et al. | Multiobjective immune algorithm with nondominated neighbor-based selection | |
| Zhou et al. | Genetic algorithm approach on multi-criteria minimum spanning tree problem | |
| Jalali Varnamkhasti et al. | A genetic algorithm with fuzzy crossover operator and probability | |
| Chitra et al. | A nondominated sorting genetic algorithm solution for shortest path routing problem in computer networks | |
| Lin et al. | A self-adaptive neural fuzzy network with group-based symbiotic evolution and its prediction applications | |
| Knowles et al. | On the utility of redundant encodings in mutation-based evolutionary search | |
| Li et al. | Multilevel diversity coding systems: Rate regions, codes, computation, & forbidden minors | |
| Lin et al. | Evolutionary Search with Multiple Utopian Reference Points in Decomposition‐Based Multiobjective Optimization | |
| Boyer et al. | Genetic algorithm with crossover based on confidence interval as an alternative to traditional nonlinear regression methods | |
| Zhang et al. | Evolutionary computation and its applications in neural and fuzzy systems | |
| Sanusi et al. | Comparative assessment of genetic and memetic algorithms | |
| El-Emary et al. | Towards using genetic algorithm for solving nonlinear equation systems | |
| Curry et al. | A computational intelligence approach to system-of-systems architecting incorporating multi-objective optimization | |
| Mathur et al. | Genetic algorithm for dynamic capacitated minimum spanning tree | |
| Pradhan et al. | Solving the 0–1 knapsack problem using genetic algorithm and rough set theory | |
| Kim et al. | On the coding-link cost tradeoff in multicast network coding | |
| Rosato et al. | Finite precision implementation of random vector functional-link networks | |
| Kim et al. | Bicriteria network design using a spanning tree-based genetic algorithm | |
| Zhang et al. | Mechanical product ecological design knowledge reduction based on rough set | |
| Li et al. | Spanning tree-based genetic algorithm for bicriteria transportation problem with fuzzy coefficients | |
| Girsang et al. | Repairing the inconsistent fuzzy preference matrix using multiobjective PSO | |
| Laskar et al. | Gene expression programming | |
| Foo et al. | Speciation and diversity balance for Genetic Algorithms and application to structural neural network learning |