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برنامه‌ریزی خطی چندهدفه (MOLP)×برنامه‌ریزی خطی×
حوزهشبیه‌سازیبهینه‌سازی
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1955–19861947
پدیدآورSteuer, R. E.; Charnes, A.; Cooper, W. W.George B. Dantzig
نوعMathematical optimization / vector optimizationMathematical programming / continuous optimization
منبع بنیادینSteuer, R. E. (1986). Multiple Criteria Optimization: Theory, Computation, and Application. John Wiley & Sons, New York. ISBN: 9780471888468Dantzig, G.B. (1963). Linear Programming and Extensions. Princeton University Press. ISBN: 9780691059136
نام‌های دیگرMOLP, Vector Linear Programming, Multi-criteria LP, Linear Vector OptimizationLP, linear optimization, Doğrusal Programlama (LP)
مرتبط34
خلاصهMulti-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.Linear programming (LP), pioneered by George B. Dantzig in 1947, is a mathematical method for finding the best value of a linear objective function — such as minimum cost or maximum profit — subject to a set of linear inequality and equality constraints. It is the foundational technique in operations research and underlies production planning, resource allocation, logistics, diet problems, and countless other decision-making scenarios across engineering, economics, and the natural sciences.
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ScholarGateمقایسهٔ روش‌ها: Multi-objective linear programming · Linear Programming. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare