Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Генетичний алгоритм× | Tabu Search× | |
|---|---|---|
| Галузь | Оптимізація | Оптимізація |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1975 | 1989 |
| Автор методу≠ | John Henry Holland | Fred Glover |
| Тип≠ | Population-based metaheuristic | Local-search metaheuristic |
| Основоположне джерело≠ | Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press. link ↗ | Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206. link ↗ |
| Інші назви | GA, evolutionary algorithm, Genetik Algoritma — Evrimsel Optimizasyon | Tabu Araması (Tabu Search), TS, tabu metaheuristic |
| Пов'язані≠ | 5 | 4 |
| Підсумок≠ | A genetic algorithm (GA) is a population-based metaheuristic optimization method introduced by John Henry Holland (1975) that mimics the principles of natural selection. It maintains a population of candidate solutions and iteratively improves them through selection, crossover, and mutation operators, making it especially powerful on discontinuous, non-convex, and multi-modal search spaces where classical gradient-based methods fail. | Tabu Search is a local-search metaheuristic introduced by Fred Glover in 1989 that uses a tabu list — a short-term memory of recently visited solutions — to prevent cycling and escape local optima. By explicitly forbidding moves that reverse recent decisions, the algorithm explores the search space more broadly and, through long-term memory structures such as aspiration criteria, aims to approach the global optimum even in large, complex combinatorial problems. |
| ScholarGateНабір даних ↗ |
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