Evolutionary computing : AISB Workshop, Sheffield, UK, April 3-4, 1995 : [selected papers]
This volume is based on the Workshop on Evolutionary Computing held in Sheffield, U.K., in April 1995 under the sponsorship of the Society for the Study of Artificial Intelligence and Simulation of Behavior (AISB). The 18 full papers presented were selected during a post-workshop refereeing meeting...
Enregistré dans:
| Collectivité auteur: | |
|---|---|
| Autres auteurs: | |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Collection: | Lecture notes in computer science
993 |
| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Evolutionary computing, AISB Workshop, Sheffield, UK, April 3-4, 1995, selected papers, Terence C. Fogarty (ed.), Berlin, Springer, 1995, 1 vol. (VIII-264 p.), Lecture notes in computer science, 3-540-60469-3 • Evolutionary Computing, Texte imprimé, 9783662207505 |
Table des matières:
- Some combinatorial landscapes on which a Genetic Algorithm outperforms other Stochastic iterative methods
- Maximum entropy analysis of genetic algorithm operators
- The ant colony metaphor for searching continuous design spaces
- Broadcast based fitness sharing GA for conflict resolution among autonomous robots
- An adaptive poly-parental recombination strategy
- Neighbourhood seeding to reduce problem modality
- Specialised recombinative operators for timetabling problems
- The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms
- Comparing genetic algorithms, simulated annealing, and stochastic hillclimbing on timetabling problems
- Evolutionary learning in computational ecologies: An application to adaptive distributed routing in communication networks
- The radio link frequency assignment problem: A case study using genetic algorithms
- Scheduling planned maintenance of the national grid
- Genetic operators and constraint handling for pipe network optimization
- A multi-objective approach to constrained optimisation of gas supply networks: The COMOGA method
- Ternary decision diagram optimisation of Reed-Muller logic functions using a genetic algorithm for variable and simplification rule ordering
- An evolutionary algorithm for parametric array signal processing
- Constraints on task and search complexity in GA+NN models of learning and adaptive behaviour
- Load balancing application of the genetic algorithm in a nonstationary environment
- Exploring some commercial applications of genetic programming.