- multiobjective optimization
- многокритериальная [векторная] оптимизация
Большой англо-русский и русско-английский словарь. 2001.
Большой англо-русский и русско-английский словарь. 2001.
Multiobjective optimization — Multi objective optimization (or programming), [cite book|last = Steuer|first = R.E.|title = Multiple Criteria Optimization: Theory, Computations, and Application|publisher = John Wiley Sons, Inc|date = 1986|location = New York|isbn = 047188846X] … Wikipedia
Multi-objective optimization — (or multi objective programming),[1][2] also known as multi criteria or multi attribute optimization, is the process of simultaneously optimizing two or more conflicting objectives subject to certain constraints. Multiobjective optimization… … Wikipedia
Multidisciplinary design optimization — Multi disciplinary design optimization (MDO) is a field of engineering that uses optimization methods to solve design problems incorporating a number of disciplines. As defined by Prof. Carlo Poloni, MDO is the art of finding the best compromise … Wikipedia
Mathematical optimization — For other uses, see Optimization (disambiguation). The maximum of a paraboloid (red dot) In mathematics, computational science, or management science, mathematical optimization (alternatively, optimization or mathematical programming) refers to… … Wikipedia
Nexus (Process integration and optimization) — Nexus Screenshot of Nexus 1.1.05 Developer(s) iChrome … Wikipedia
Metaheuristic — In computer science, metaheuristic designates a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Metaheuristics make few or no assumptions about the… … Wikipedia
Multi-criteria decision analysis — Multiple criteria decision making or multiple criteria decision analysis is a sub discipline of operations research that explicitly considers multiple criteria in decision making environments. Whether in our daily lives or in professional… … Wikipedia
Многокритериальная оптимизация — или программирование (англ. Multi objective optimization),[1][2] это процесс одновременной оптимизации двух или более конфликтующих целевых функций в заданной области определения. Задача многокритериальной оптимизации встречаются во… … Википедия
Differential evolution — In computer science, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Such methods are commonly known as metaheuristics as they make… … Wikipedia
Evolutionary algorithm — In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population based metaheuristic optimization algorithm. An EA uses some mechanisms inspired by biological evolution: reproduction,… … Wikipedia
CMA-ES — stands for Covariance Matrix Adaptation Evolution Strategy. Evolution strategies (ES) are stochastic, derivative free methods for numerical optimization of non linear or non convex continuous optimization problems. They belong to the class of… … Wikipedia