Browsing by Subject "Objective functions"
Now showing items 1-14 of 14
-
Adjusting the parameters of metal oxide gapless surge arresters' equivalent circuits using the harmony search method
(2017)The appropriate circuit modeling of metal oxide gapless surge arresters is critical for insulation coordination studies. Metal oxide arresters present a dynamic behavior for fast front surges; namely, their residual voltage ... -
Assessing the Transition of the Romanian Power System
(2020)This work presents a generic mixed integer linear programming model to determine the optimal energy and reserves scheduling of a renewable-based multi-zonal power system. In particular, through a detailed unit commitment ... -
Energy performance optimization of a house with grid-connected rooftop pv installation and air source heat pump
(2021)The use of air source heat pump systems for space heating and cooling is a convenient retrofitting strategy for reducing building energy costs. This can be combined with the rooftop installation of photovoltaic panels, ... -
Environmental Externalities Score: a new emission factor to model green vehicle routing problem
(2017)In this paper, we introduce a new emissions factor referred to as the Environmental Externalities score (EES) as a measure of transportation network factors (e.g., gradient, rolling resistance, air resistance etc.) having ... -
Forming District Metered Areas in a Water Distribution Network Using Genetic Algorithms
(2016)Dividing a water distribution network into District Metered Areas (DMAs) is the first vital step towards water loss management. It is a multivariate problem. Techniques based on Genetic Algorithms is a proven way to provide ... -
Machine learning product key performance indicators and alignment to model evaluation
(2021)Machine Learning has seen amazing progress the past years with increasing commercial use from industries across the business spectrum. Businesses strive for alignment of vision and mission statement to the actual products ... -
Multi-channel non-negative matrix factorization for overlapped acoustic event detection
(2018)In this paper, we propose two multi-channel extensions of non-negative matrix factorization (NMF) for acoustic event detection. The first method performs decision fusion on the activation matrices produced from independent ... -
Multi-objective optimization algorithms for finite element model updating
(2008)A multi-objective optimization method is presented for estimating the parameters of finite element structural models based on modal residuals. The method results in multiple Pareto optimal structural models that are ... -
Multi-optima search using Differential Evolution and unsupervised clustering
(2013)The aim of this paper is the combination of an Evolutionary Algorithm and a Data Mining technique for the location and computation of multiple local and global optima of an objective function. To accomplish this task we ... -
Online live VM migration algorithms to minimize total migration time and downtime
(2019)Virtual machine (VM) migration is a widely used technique in cloud computing systems to increase reliability. There are also many other reasons that a VM is migrated during its lifetime, such as reducing energy consumption, ... -
A pareto-efficient algorithm for data stream processing at network edges
(2018)Data stream processing has received considerable attention from both research community and industry over the last years. Since latency is a key issue in data stream processing environments, the majority of the works ... -
Posterior robust optimization for design update based on measurements
(2015)A Bayesian unified framework is proposed for data-informed robust design optimization. Models of uncertainties postulated in conventional robust design optimization are treated as prior uncertainties in a Bayesian context. ... -
Topology control with coverage and lifetime optimization of wireless sensor networks with unequal energy distribution
(2017)In this work, we use an unequal energy distribution algorithm, with which we succeed to extend network lifetime. In the sequel, we, we provide the best effort coverage by arranging the nodes using topology control principles. ... -
Unsupervised clustering and multi-optima evolutionary search
(2014)This paper pursues a course of investigation of an approach to combine Evolutionary Computation and Data Mining for the location and computation of multiple local and global optima of an objective function. To accomplish ...