Data-driven software design with Constraint Oriented Multi-variate Bandit Optimization (COMBO)
نویسندگان
چکیده
منابع مشابه
A Chance Constraint Approach to Multi Response Optimization Based on a Network Data Envelopment Analysis
In this paper, a novel approach for multi response optimization is presented. In the proposed approach, response variables in treatments combination occur with a certain probability. Moreover, we assume that each treatment has a network style. Because of the probabilistic nature of treatment combination, the proposed approach can compute the efficiency of each treatment under the desirable reli...
متن کاملOptimization of Complex Mechanics Simulations with Object-Oriented Software Design*
The benefits of applying optimization to computational models are well known, but their range of widespread application to date has been limited. This work attempts to extend the disciplinary areas to which optimization algorithms may be readily applied through the development and application of advanced optimization strategies capable of handling the computational difficulties associated with ...
متن کاملMulti-Armed Bandit with Budget Constraint and Variable Costs
We study the multi-armed bandit problems with budget constraint and variable costs (MAB-BV). In this setting, pulling an arm will receive a random reward together with a random cost, and the objective of an algorithm is to pull a sequence of arms in order to maximize the expected total reward with the costs of pulling those arms complying with a budget constraint. This new setting models many I...
متن کاملVisualization of Multi-variate Scientific Data
In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multivariate data. We discuss how different techniques take effect at specific stages of the visualization pipeline and how they apply to multi-variate data sets being composed of scalars, vectors and tensors. We also provide a categorization of these techniques with the aim for a better ...
متن کاملEnabling Optional Software Components In Multi-Constraint Deployment Optimization Problems
This paper presents methods for adding optional software components to a Distributed Real-Time Embedded (DRE) deployment optimization problem, and methods for attempting to enable deployment of the maximal number of optional software components. By building upon prior work that allows rapid deployment optimization, one can predict probability of success with high confidence, and utilize that in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Empirical Software Engineering
سال: 2020
ISSN: 1382-3256,1573-7616
DOI: 10.1007/s10664-020-09856-1