Recent Advances in Memetic Algorithms
Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal u...
שמור ב:
| מחבר ראשי: | |
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| מחברים אחרים: | , |
| פורמט: | Livre numérique |
| שפה: | Anglais |
| יצא לאור: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| מהדורה: | 1st ed. 2005. |
| סדרה: | Studies in Fuzziness and Soft Computing
166 |
| גישה מקוונת: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| הערה: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Recent advances in memetic algorithms, William E. Hart, N. Krasnogor, J.E. Smith (eds.), 2005, Berlin, Springer, 1 vol. (x-408 p.), Studies in fuzziness and soft computing, 3-540-22904-3 • Recent Advances in Memetic Algorithms, Texte imprimé, 9783642061769 • Recent Advances in Memetic Algorithms, Texte imprimé, 9783540803454 |
תוכן הענינים:
- to Memetic Algorithms Memetic Evolutionary Algorithms Applications of Memetic Algorithms An Evolutionary Approach for the Maximum Diversity Problem Multimeme Algorithms Using Fuzzy Logic Based Memes For Protein Structure Prediction A Memetic Algorithm Solving the VRP, the CARP and General Routing Problems with Nodes, Edges and Arcs Using Memetic Algorithms for Optimal Calibration of Automotive Internal Combustion Engines The Co-Evolution of Memetic Algorithms for Protein Structure Prediction Hybrid Evolutionary Approaches to Terminal Assignment in Communications Networks Effective Exploration & Exploitation of the Solution Space via Memetic Algorithms for the Circuit Partition Problem Methodological Aspects of Memetic Algorithms Towards Robust Memetic Algorithms NK-Fitness Landscapes and Memetic Algorithms with Greedy Operators and k-opt Local Search Self-Assembling of Local Searchers in Memetic Algorithms Designing Efficient Genetic and Evolutionary Algorithm Hybrids The Design of Memetic Algorithms for Scheduling and Timetabling Problems Memetic Algorithms for Multiobjective Optimization: Issues, Methods and Prospects Related Search Technologies A Memetic Learning Classifier System for Describing Continuous-Valued Problem Spaces Angels & Mortals: A New Combinatorial Optimization Algorithm