مقایسهٔ روش‌ها

	روش بهترین-بدترین	برنامه‌ریزی غیرخطی
حوزه	تصمیم‌گیری	بهینه‌سازی
خانواده	MCDM	Process / pipeline
سال پیدایش	2015	2006
پدیدآور	Rezaei, J.	Jorge Nocedal & Stephen Wright
نوع	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Continuous mathematical optimization
منبع بنیادین	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Nocedal, J., & Wright, S. J. (2006). Numerical Optimization (2nd ed.). Springer. ISBN: 978-0-387-30303-1
نام‌های دیگر	—	NLP optimization, Constrained nonlinear optimization, Smooth optimization, Doğrusal olmayan programlama
مرتبط	8	3
خلاصه	BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	Nonlinear programming (NLP) is a branch of mathematical optimization concerned with problems in which the objective function or at least one constraint is nonlinear. Formalized comprehensively by Jorge Nocedal and Stephen Wright in their seminal 2006 text, NLP encompasses gradient-based algorithms — including sequential quadratic programming (SQP), interior-point methods, and quasi-Newton approaches — for finding locally or globally optimal solutions to continuous decision problems arising across engineering, economics, and the physical sciences.