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Multi-objective optimization of a solar-assisted heat pump for swimming pool heating using genetic algorithm
(Elsevier Ltd, 2018)
A proper assessment of heating systems for swimming pools should evaluate the compromise between comfortlevel and the willingness to pay for it. The present work presents a multi-objective optimization of indirect solarassisted ...
Pareto-based modulated model predictive control strategy for power converter applications
(Elsevier Ltd, 2019)
Modulated model predictive control (M 2 PC) allows fixed switching frequency operation of power converters, producing lower ripple and lower total harmonic distortion (THD) in the output signals than those obtained using ...
Optimizing the multi-level location-assignment problem in queue networks using a multi-objective optimization approach
(Walter de Gruyter GmbHGermany, 2022)
Evolutionary multi-objective scheduling procedures in non-standardized production processes
(Universidad Nacional de Colombia Sede Medellín, 2012)
Scheduling problems can be seen as multi-objective optimization problems (MOPs), involving the simultaneous satisfaction of several goals related to the optimal design, coordination and management of tasks. The complexity ...
Multiobjective optimization of the reactive power compensation in electric distribution systems
(Universidad Nacional de Colombia Sede Medellín, 2014-10-24)
Different methods of optimization have been used for the selection and localization of capacitor banks in distribution circuits. However, it is necessary to consider the distortion taken place by the harmonics of the ...
A multiobjective approach for non-discretionary variables in data envelopment analysis
(Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas., 2016-01-01)
Data Envelopment Analysis is a non-parametrical approach for efficiency evaluation of so-called DMUs (Decision Making Units) and takes into account multiple inputs and outputs. For each inefficient DMU, a target is provided ...
A comparative approach of ant colony system and mathematical programming for task scheduling in a mineral analysis laboratory
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018)
Multi-objective finite-time control for the interlinking converter on hybrid AC/DC microgrids
(IEEE Access, 2021)
Hybrid AC/DC microgrids are of special interest for energization due to their exibility, low
infrastructure investments, reduced conversion losses, and reliability against failures on the utility grid.
In these systems, ...
Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms
(Elsevier, 2014)
Lithium-battery energy storage systems (LiBESS) are increasingly being used on electric mobility and
stationary applications. Despite its increasing use and improvements of the technology there are still
challenges ...