পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বহু-উদ্দেশ্য মিশ্র-পূর্ণসাংখ্যিক প্রোগ্রামিং× | বহু-উদ্দেশ্য রৈখিক প্রোগ্রামিং (MOLP)× | |
|---|---|---|
| ক্ষেত্র | অনুকরণ | অনুকরণ |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1980s–2000s | 1955–1986 |
| প্রবর্তক≠ | Ehrgott, M.; Mavrotas, G. and others in multi-criteria optimization | Steuer, R. E.; Charnes, A.; Cooper, W. W. |
| ধরন≠ | Mathematical optimization | Mathematical optimization / vector optimization |
| মৌলিক উৎস≠ | Ehrgott, M. (2005). Multicriteria Optimization (2nd ed.). Springer, Berlin. ISBN: 9783540213987 | Steuer, R. E. (1986). Multiple Criteria Optimization: Theory, Computation, and Application. John Wiley & Sons, New York. ISBN: 9780471888468 |
| অপর নাম | MO-MIP, Multi-criteria MIP, MOMIP, Multi-objective MILP | MOLP, Vector Linear Programming, Multi-criteria LP, Linear Vector Optimization |
| সম্পর্কিত≠ | 5 | 3 |
| সারসংক্ষেপ≠ | Multi-Objective Mixed-Integer Programming (MO-MIP) is an optimization framework that simultaneously optimizes two or more conflicting objective functions subject to linear or nonlinear constraints, where some decision variables are restricted to integer values and others are continuous. It is widely applied in engineering design, supply chain planning, resource allocation, and scheduling problems that require discrete choices alongside continuous quantities. | Multi-Objective Linear Programming (MOLP) extends classical linear programming to handle several conflicting linear objective functions simultaneously over a feasible region defined by linear constraints. Instead of a single optimal solution, MOLP produces a Pareto-efficient frontier from which a decision-maker selects a preferred trade-off. It is foundational to operations research and management science for resource allocation, planning, and design problems with competing goals. |
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