পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বহু-উদ্দেশ্যমূলক ডাইনামিক প্রোগ্রামিং× | ডায়নামিক প্রোগ্রামিং× | |
|---|---|---|
| ক্ষেত্র≠ | অনুকরণ | অনুকূলকরণ |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1957-1975 | 1957 |
| প্রবর্তক≠ | Extension of Bellman (1957); formalized by multiple authors from 1970s onward | Richard Bellman |
| ধরন≠ | Exact optimization — recursive multi-objective decomposition | Exact combinatorial optimization via recursive decomposition |
| মৌলিক উৎস≠ | Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516 | Bellman, R. (1957). Dynamic Programming. Princeton University Press. ISBN: 978-0-691-07951-6 |
| অপর নাম | MODP, Multi-criteria dynamic programming, Vector dynamic programming, Pareto dynamic programming | DP, Bellman's Principle of Optimality, Recursive Optimization, Dinamik Programlama |
| সম্পর্কিত≠ | 5 | 3 |
| সারসংক্ষেপ≠ | Multi-Objective Dynamic Programming (MODP) extends Bellman's classical dynamic programming to settings where a decision-maker must optimize several competing objectives simultaneously across a sequence of stages. Rather than a single optimal policy, it produces a Pareto-optimal set of policies — each representing a distinct trade-off profile — by propagating vector-valued value functions backward through the state space. | Dynamic Programming (DP) is an exact optimization technique introduced by Richard Bellman in 1957 for solving multi-stage decision problems. It decomposes a complex problem into simpler, overlapping subproblems, solves each subproblem once, and stores the results to avoid redundant computation. Grounded in the Principle of Optimality, DP guarantees globally optimal solutions whenever the problem exhibits overlapping subproblems and optimal substructure. |
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