Vitor OliveiraAntonio PinaAlberto ProengaApplications of High Performance Computing in Engineering V
Scalable Parallel Genetic Algorithms作者:Wilson Rivera 摘要 Genetic algorithms, search algorithms based on the genetic processes observed in natural evolution, have been used to solve difficult problems in many different disciplines. When applied to very large-scale problems, genetic algorithms exhibit ...
(1989). Parallel Genetic Algorithms, Population Genetics and Combinatorial Optimization. Proceedings of the Third International Conference on Genetic Algorithms, 416-421.Muhlenbein, H. (1989). Parallel genetic algorithms, population genetics ... H Mühlenbein 被引量: 0发表: 1989年 Parallelism, Learnin...
Godza, G., Rebaudengo, M., Reorda, M.S. (1996). Using parallel genetic algorithms for solving the Min-Cut problem. In: Liddell, H., Colbrook, A., Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1996. Lecture Notes in Computer Science, vol...
In this study, two developed shortest path algorithms that run fast on the real large volume road networks have been identified. The first one is heuristic genetic algorithm implemented with approximate buckets in scalar computing environment and the second one is parallel genetic processing which is...
Chipperfield A., Fleming P.: Parallel Genetic Algorithms, In: Zomaya, A.Y. (ed.): Parallel and Distributed Computing Handbook, McGraw-Hill (1996) 6. Dorndorf U., Pesch E.: Evolution Based Learning in a Job Shop Scheduling Envi- ronment, Comp. Opns. Res. 22 (1995) 25-40 7. ...
Genetic Algorithms in Engineering System:Inno ations and Applications [C]. London,1995. 493 499. [7]Turton B C H,ArsIan T. An architecture for enhancing im- age processing via paraIIeI genetic aIgorithms data com- pression [A]. n:Proc of First IEE/ IEEE International con- ference on...
Genetic Algorithms (GAs) is proven to be effective in solving many optimization tasks. GAs is one of the optimization tools used widely in solving problems based on natural selection and genetics. This paper is intended to cover the study of GA and parallel GA and analyses its usage in CPU ...
6) parallel genetic algorithms 并行遗传算法 1. Parallel Genetic Algorithms and Its Application to the Optimization Design of Main Magnet Assembly of MRI; 并行遗传算法及其在MRI永磁主磁体优化设计中的应用 2. To request for relating law between technical and economic parameter and ore cost for a raw...
In multimodal optimization, maintaining population diversity is one of the most critical issues in genetic algorithm design. A number of niching techniques have been developed and successfully applied to cope with this problem. For multi-population based parallel genetic algorithms, nevertheless, these ap...