| Title |
The application of hybrid genetic algorithms for the grey pattern problem / |
| Translation of Title |
Hibridinių genetinių algoritmų taikymas pilkųjų šablonų formavimo uždaviniui. |
| Authors |
Stanevičienė, Evelina |
| Full Text |
|
| Pages |
34 |
| Keywords [eng] |
heuristics ; hybrid genetic algorithms ; combinatorial optimization ; grey pattern quadratic assignment problem ; component-based analysis |
| Abstract [eng] |
The aim of the research is to investigate the effectiveness of hybrid genetic algorithm modifications for the grey pattern problem and to determine the most effective algorithm variants. The object of the research is the hybrid genetic algorithms for the grey pattern problem. Scientific novelty is that the hybrid genetic algorithm of an improved structure (architecture) was proposed for the grey pattern problem. The hybrid genetic algorithm was implemented with a new type of integrated iterative tabu search procedure combined with the efficient adaptive perturbation of solutions. The hybrid genetic algorithm was successfully applied to the grey pattern quadratic assignment problem, which is utilized as a formal model for construction of the digital halftones. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Summaries of doctoral thesis |
| Language |
English |
| Publication date |
2019 |
