نتایج جستجو برای: optimality criteria
تعداد نتایج: 276349 فیلتر نتایج به سال:
Introduction After land reform, some actions have been done for rural finance by creating financial institutions such as credit cooperatives, Agriculture Bank and interest-free loan funds which were not successful in improving poor people livelihood. The studied area in this study includes a forest-mountain area that have small and sporadic villages and they are far from rural-urban continuu...
In this paper, we are interested in the optimization of step-stress accelerated degradation test plan when path follows Tweedie exponential dispersion process which has been shown to be an important family analysis. We firstly prove that, under model with a drift parameter being function (transformed) stress level, multi-level will correspond simple using only minimum and maximum levels D-optim...
Distributed constraint optimization (DCOP) is a popular formalism for modeling cooperative multi-agent systems. In large-scale networks, finding a global optimum using complete algorithms is often impractical, which leads to the study on incomplete algorithms. Traditionally incomplete algorithms can only find locally optimal solution with no quality guarantees. Recent work on ksize-optimality h...
In this paper we consider a vector integer programming problem with Pareto principle of optimality for the case where partial criteria belong to the class of separable piecewise linear functions. The limit level of the initial data’s perturbations in the space of vector criteria parameters with norms l1 and l∞, preserved Pareto optimality of the solutions is investigated. Formulas of the quasis...
This contribution is devoted to risk-sensitive and risk-neutral optimality in Markov decision chains. Since the traditional optimality criteria (e.g. discounted or average rewards) cannot reflect the variability-risk features of the problem, and using the mean variance selection rules that stem from the classical work of Markowitz present some technical difficulties, we are interested in expect...
One approach to feature detection is to match a parametric model of the feature to the image data. Naturally, the performance of such detectors is highly dependent upon the function used to measure the degree of fit between the feature model and the image data. In this paper, we first show how an existing detector can be extended to use a weighted L norm as the matching function with minimal ex...
In recent decades there has been an increasing attention in research of optimal control theory with uncertainties. An important issue to deal with the optimal control problem with uncertainties is how to determine some optimization criterion to optimize objective function. Actually, there are many criteria to do so but there is no any criteria to be best because different criteria satisfy vario...
We consider computationally tractable methods for the experimental design problem, where k out of n design points of dimension p are selected so that certain optimality criteria are approximately satisfied. Our algorithm finds a (1 + ε)approximate optimal design when k is a linear function of p; in contrast, existing results require k to be super-linear in p. Our algorithm also handles all popu...
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