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Published in 2019 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2019.09.075
Abstract: Abstract In the context of ameliorating the electrical vehicle dynamic, this paper suggests an on-line control based on multi-objective Particle-Swarm-Optimization (MOPSO). This control is applied to Fuel Cell (FC)/Ultra-Capacitor (UC) vehicle in order to enhance…
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Keywords:
system;
line;
multi objective;
electrical vehicle ... See more keywords
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Published in 2018 at "Advances in Building Energy Research"
DOI: 10.1080/17512549.2017.1325397
Abstract: ABSTRACT Contemporary electricity markets necessitate balancing supply and demand in real time, as well as the active involvement of all participating entities in the price-setting procedure. To this end, Demand Response pricing schemes are often…
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Keywords:
using multi;
multi objective;
time;
time use ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1522096
Abstract: In recent years, researchers have solved the multi-objective optimization problem by making various improvements to the multi-objective particle swarm optimization algorithm. However, we propose a hybrid multi-objective particle swarm optimization (CCHMOPSO) with a central control…
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Keywords:
multi objective;
swarm optimization;
particle swarm;
objective particle ... See more keywords
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Published in 2019 at "Applied Ecology and Environmental Research"
DOI: 10.15666/aeer/1705_1166911686
Abstract: In this paper, a catfish-effect multi-objective particle swarm optimization algorithm (CEMOPSO) is proposed for optimizing the coordinative flow-sediment scheduling in a reservoir. In the proposed CE-MOPSO, the driven effect of catfish particles is introduced to…
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Keywords:
effect multi;
multi objective;
effect;
objective particle ... See more keywords
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Published in 2020 at "Studies in Informatics and Control"
DOI: 10.24846/v29i1y202010
Abstract: The curse of dimensionality is a well-known problem in biometric applications (e.g., biometric passports). The downside of this problem is that both the accuracy and speed of the biometric authentication process are reduced. This paper…
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Keywords:
feature selection;
multi objective;
accuracy;
swarm optimization ... See more keywords
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Published in 2019 at "Energies"
DOI: 10.3390/en12071295
Abstract: A growing presence of distributed energy resources (DER) and the increasingly diverse nature of end users at low-voltage (LV) networks make the operation of these grids more and more challenging. Particularly, congestion and voltage management…
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Keywords:
objective particle;
data analytics;
congestion;
swarm optimization ... See more keywords
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Published in 2023 at "Mathematical Biosciences and Engineering"
DOI: 10.3934/mbe.2023522
Abstract: Despite being easy to implement and having fast convergence speed, balancing the convergence and diversity of multi-objective particle swarm optimization (MOPSO) needs to be further improved. A multi-objective particle swarm optimization with reverse multi-leaders (RMMOPSO)…
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Keywords:
multi objective;
particle swarm;
multi;
convergence ... See more keywords