multiobjective optimization

См. также в других словарях:

• 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