multiobjective
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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
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
Cuckoo search — (CS) is an optimization algorithm developed by Xin she Yang and Suash Deb in 2009.[1][2] It was inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). Some host… … 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
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
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
Goal programming — is a branch of multiobjective optimization, which in turn is a branch of multi criteria decision analysis (MCDA), also known as multiple criteria decision making (MCDM). It can be thought of as an extension or generalisation of linear programming … Wikipedia
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
