| Autor: |
Elmar Kuliev, Nina Kulieva, Vladimir Kureichik, Yury Kravchenko |
| Rok vydání: |
2016 |
| Předmět: |
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| Zdroj: |
Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine. |
| DOI: |
10.2991/itsmssm-16.2016.15 |
| Popis: |
The paper discusses a hybridization of adaptation mechanisms with self-organization in order to process problem- oriented knowledge. The core of the proposed method consists in sequential execution of bionic and genetic algorithms. To demonstrate the hybrid algorithm we gave an example of a solution search. In the paper it is presented a formulation of the problem-oriented knowledge processing task during the optimal solution search. To solve this problem we developed a modified architecture of the hybrid search. The suggested architecture involves principal components of a bioinspired search. To improve the algorithm performance we provide an opportunity to add new algorithms with an evolutionary adaptation module and environment module. . Conducted experiments confirmed that time complexity of the developed approach is polynomial. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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