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Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2687-3
Abstract: The meta-heuristic search algorithms have been widely applied to solve the various science and engineering optimization problems. However, the performance of these algorithms is highly sensitive toward the number of objective functions and number of…
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Keywords:
bee colony;
algorithms;
many objective;
optimization ... See more keywords
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Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-018-3188-8
Abstract: In this paper, a new meta-heuristic algorithm is presented, which is a new bio-inspired optimization algorithm based on the self-defense mechanisms of the plants. In the literature, there are many published works, where the authors…
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Keywords:
meta;
optimization;
meta heuristic;
heuristic algorithm ... See more keywords
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Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05110-3
Abstract: Since university timetabling is commonly classified as a combinatorial optimisation problem, researchers tend to use optimisation approaches to reach the optimal timetable solution. Meta-heuristic algorithms have been presented as effective solutions as proven on their…
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Keywords:
meta heuristic;
university timetabling;
timetabling problems;
heuristic algorithms ... See more keywords
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Published in 2019 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-019-09733-4
Abstract: Recently, meta-heuristic algorithms have made remarkable progress in solving types of complex and NP-hard problems. So that, most of this algorithms are inspired by swarm intelligence and biological systems as well as other physical and…
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Keywords:
organisms search;
comprehensive survey;
algorithms;
symbiotic organisms ... See more keywords
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Published in 2020 at "Cluster Computing"
DOI: 10.1007/s10586-020-03071-9
Abstract: Cloud computing has developed as a high-performance computing environment with a huge set of virtualized, abstracted, and flexible resource. It provides service to the user with high-performance. In a large-scale cloud computing environment, the cloud…
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Keywords:
cloud computing;
multi objective;
cloud data;
cloud ... See more keywords
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Published in 2020 at "Wireless Personal Communications"
DOI: 10.1007/s11277-019-06752-w
Abstract: In last few years there is escalating growth of teletraffic accompanied with higher power emission resulting in increased global carbon footprint. But as evolution of a technology should be in harmony with environment, controlling transmission…
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Keywords:
precoding massive;
power;
algorithm based;
based precoding ... See more keywords
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Published in 2020 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2019.106031
Abstract: A b s t r a c t Power system operation with proper planning is an utmost task for enhancing the economy of the country. The Optimal Reactive Power Dispatch (ORPD) plays an important task…
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Keywords:
system;
transmission;
heuristic techniques;
power ... See more keywords
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Published in 2017 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2017.01.122
Abstract: This paper aims at finding the optimal gain scheduling of the conventional Proportional Integral (PI) and the Fractional Order (FOPI) through the use of the advanced meta-heuristic optimization techniques in PV-grid connected systems. Therefore, the…
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Keywords:
enhanced dynamic;
fractional order;
optimization;
meta heuristic ... See more keywords
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Published in 2021 at "Powder Technology"
DOI: 10.1016/j.powtec.2020.12.056
Abstract: Abstract Gas cyclone separators have been widely used in different industries. In this study, to find the best geometrical ratios of Stairmand cyclone separator, computational fluid dynamics (CFD), design of experiments (DOE), multi-gene genetic programming…
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Keywords:
meta heuristic;
cyclone;
heuristic algorithms;
cyclone separator ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2866394
Abstract: This paper recommends a practical way to insert buffer and flop repeaters onto global signals of a complex system-on-chip (SoC). With the advent of deep sub-micrometer technology and new business environment, the market prefers a…
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Keywords:
repeater design;
repeater;
hybrid meta;
system chip ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3171614
Abstract: The selection of prominent features for building more compact and efficient models is an important data preprocessing task in the field of data mining. The rough hypercuboid approach is an emerging technique that can be…
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Keywords:
meta heuristic;
rough hypercuboid;
feature;
selection ... See more keywords