نتایج جستجو برای: multiobjective
تعداد نتایج: 6439 فیلتر نتایج به سال:
The design of reliable DNA sequences is crucial in many engineering applications which depend on DNAbased technologies, such as nanotechnology or DNA computing. In these cases, two of the most important properties that must be controlled to obtain reliable sequences are self-assembly and selfcomplementary hybridization. These processes have to be restricted to avoid undesirable reactions, becau...
Report The aim of this work is to make some investigations concerning duality for mul-tiobjective optimization problems. In order to do this we study first the duality for scalar optimization problems by using the conjugacy approach. This allows us to attach three different dual problems to a primal one. We examine the relations between the optimal objective values of the duals and verify, unde...
A Case Study of a Multiobjective Elitist Recombinative Genetic Algorithm with Coevolutionary Sharing
We present a multiobjective genetic algorithm that incorporates various genetic algorithm techniques that have been proven to be efficient and robust in their problem domain. More specifically, we integrate rank based selection, adaptive niching through coevolutionary sharing, elitist recombination, and non-dominated sorting into a multiobjective genetic algorithm called ERMOCS. As a proof of c...
Learning concept descriptions from data is a complex multiobjective task. The model induced by the learner should be accurate so that it can represent precisely the data instances, complete, which means it can be generalizable to new instances, andminimum, or easily readable. Learning Classifier Systems (LCSs) are a family or learners whose primary search mechanism is a genetic algorithm. Along...
In feedback control design, the Bode sensitivity integral dictates that trade-offs must be made frequency-wise. For multiple-in-multiple-out (MIMO) systems, trade-offs can also be made spatially (element-wise). To do this using ‘norm based’ control methods, such as H2 or H∞, one can only change weights on the inputs and the outputs of the systems. This way, it is not possible to exploit all spa...
In this article a procedure to tune robust Generalized Predictive Controllers (GPC) is presented. To tune the controller parameters a multiobjective optimization problem is formulated so the designer can consider conflicting objectives simultaneously without establishing any prior preference. Moreover model uncertainty, represented by a list of possible models, is considered. The multiobjective...
Very often real world applications have several multiple conflicting objectives. Recently there has been a growing interest in evolutionary multiobjective optimization algorithms which combines two major disciplines: evolutionary computation and the theoretical frameworks of multicriteria decision making. In this introductory chapter, we define some fundemental concepts of multiobjective optimi...
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