方法对比
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| 遗传算法× | 禁忌搜索× | |
|---|---|---|
| 领域 | 优化 | 优化 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1975 | 1989 |
| 提出者≠ | John Henry Holland | Fred Glover |
| 类型≠ | Population-based metaheuristic | Local-search metaheuristic |
| 开创性文献≠ | 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 ↗ |
| 别名 | GA, evolutionary algorithm, Genetik Algoritma — Evrimsel Optimizasyon | Tabu Araması (Tabu Search), TS, tabu metaheuristic |
| 相关≠ | 5 | 4 |
| 摘要≠ | 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. |
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