نتایج جستجو برای: objective algorithm
تعداد نتایج: 1267102 فیلتر نتایج به سال:
An important difficulty with multi-objective algorithms to analyze many-objective optimization problems (MaOPs) is the visualization of large dimensional Pareto front. This article has alleviated this issue by utilizing objective reduction approach in order remove non-conflicting objectives from original set. The present work proposed formulation technique social spider (MOSSO) algorithm provid...
Data clustering is one of the most important areas of research in data mining and knowledge discovery. Recent research in this area has shown that the best clustering results can be achieved using multi-objective methods. In other words, assuming more than one criterion as objective functions for clustering data can measurably increase the quality of clustering. In this study, a model with two ...
Network reconfiguration is a nonlinear optimization procedure which calculates a radial structure to optimize the power losses and improve the network reliability index while meeting practical constraints. In this paper, a multi-objective framework is proposed for optimal network reconfiguration with the objective functions of minimization of power losses and improvement of reliability index. T...
Abstract as a single objective one. Measures like support, confidence and other interestingness criteria which are used for evaluating a rule, can be thought of as different objectives of association rule mining problem. Support count is the number of records, which satisfies all the conditions that exist in the rule. This objective represents the accuracy of the rules extracted from the da...
An important task for classification is feature selection that removes the redundant or irrelevant features from dataset. Multi-objective approach mainly proposed by many researchers. However, these approaches failed to maintain higher accuracy while removing redundancy in features. In this work, a wrapper based technique with hybrid of Multi Objective Honey Badger Algorithm (MO-HBA) and Streng...
one of the most important applications of multi-objective optimization is adjusting parameters ofpractical engineering problems in order to produce a more desirable outcome. in this paper, the decoupled sliding mode control technique (dsmc) is employed to stabilize an inverted pendulum which is a classic example of inherently unstable systems. furthermore, a new multi-objective particle swarm o...
because the underlying physiology of pathological tremor in a parkinson's patient is not well understood, the existing physical and drug therapies have not been successful in tremor treatment. different mathematical modeling of such vibration has been introduced to investigate the problem and reduce the existing vibration. most of the models have represented the induced vibration as a sinusoida...
application of either protein or carbohydrate-based products as fat replacers in low fat ice-creams can improve the properties of these products. however, the type and level of fat and fat replacer utilized are affected by such different parameters as functional ones, namely: viscosity and overrun, hardness and melting rate, nutritional properties (calories) as well as the price of the final pr...
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