نتایج جستجو برای: iterated greedy algorithm

تعداد نتایج: 763240  

Journal: :IEEE transactions on systems, man, and cybernetics 2021

In this paper, we consider single-machine group scheduling with nonperiodical maintenance and deteriorating effects. Nonperiodical maintenance, which has unfixed maintaining interval or the number of jobs in each is unfixed, results a variable groups. Deteriorating effects lead to longer processing times deterioration index depends on job grouping. This problem significance different production...

Marzieh Azarian, Mashallah Abbasi Dezfuli Reza Javidan,

Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...

Journal: :Statistics and computing 2017
Dao Nguyen Edward L. Ionides

Simulation-based inference for partially observed stochastic dynamic models is currently receiving much attention due to the fact that direct computation of the likelihood is not possible in many practical situations. Iterated filtering methodologies enable maximization of the likelihood function using simulation-based sequential Monte Carlo filters. Doucet et al. (2013) developed an approximat...

Journal: :European Journal of Operational Research 2010
Luis Fanjul-Peyro Rubén Ruiz

This work deals with the parallel machines scheduling problem which consists in the assignment of n jobs on m parallel machines. The most general variant of this problem is when the processing time depends on the machine to which each job is assigned to. This case is known as the unrelated parallel machines problem. Similarly to most of the literature, this paper deals with the minimization of ...

ژورنال: اندیشه آماری 2018

Abstract One of the main goal in the mixture distributions is to determine the number of components. There are different methods for determination the number of components, for example, Greedy-EM algorithm which is based on adding a new component to the model until satisfied the best number of components. The second method is based on maximum entropy and finally the third method is based on non...

Journal: :Journal of the Korea Institute of Military Science and Technology 2020

Journal: :Advances in Computational Mathematics 2010

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