مقایسهٔ روشها
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| برنامهریزی عدد صحیح مختلط× | الگوریتم ژنتیک× | |
|---|---|---|
| حوزه≠ | شبیهسازی | بهینهسازی |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 1958–1960 | 1975 |
| پدیدآور≠ | Ralph Gomory (branch-and-bound cuts, 1958); Land & Doig (branch-and-bound, 1960) | John Henry Holland |
| نوع≠ | Mathematical optimization | Population-based metaheuristic |
| منبع بنیادین≠ | Nemhauser, G. L., Wolsey, L. A. (1988). Integer and Combinatorial Optimization. Wiley-Interscience, New York. ISBN: 9780471359432 | Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press. link ↗ |
| نامهای دیگر≠ | MIP, Mixed-Integer Linear Programming, MILP, Integer Programming | GA, evolutionary algorithm, Genetik Algoritma — Evrimsel Optimizasyon |
| مرتبط≠ | 6 | 5 |
| خلاصه≠ | Mixed-Integer Programming (MIP) is a mathematical optimization framework in which some decision variables must take integer values while others may be continuous. It generalizes linear programming and is widely used in operations research, logistics, scheduling, resource allocation, and engineering design, where indivisibility constraints — such as yes/no decisions or whole-unit quantities — arise naturally. | 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. |
| ScholarGateمجموعهداده ↗ |
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