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Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01065-6
Abstract: Network on chip is widely restricted with power utilization and area occupation due to the usage of buffers. Hence, the design of bufferless architecture entirely eliminates such kind of limitations. However, conventional methodologies will not…
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Keywords:
ant lion;
bufferless routing;
power;
chip ... See more keywords
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Published in 2018 at "Electrical Engineering"
DOI: 10.1007/s00202-016-0477-z
Abstract: Renewable sources can provide a clean and smart solution to the increased demands. Thus, photovoltaic and wind turbine are considered here as sources of distributed generation (DG). Allocation and sizing of DG have greatly affected…
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Keywords:
lion optimization;
optimization algorithm;
distributed generation;
allocation ... See more keywords
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Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3282-y
Abstract: Feature selection (FS) can be defined as the problem of finding the minimal number of features from an original set with the minimum information loss. Since FS problems are known as NP-hard problems, it is…
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Keywords:
lion optimizer;
ant lion;
feature selection;
binary ant ... See more keywords
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Published in 2020 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-020-09876-w
Abstract: Suspended sediment load (SSL) estimation is a required exercise in water resource management. This article proposes the use of hybrid artificial neural network (ANN) models, for the prediction of SSL, based on previous SSL values.…
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Keywords:
neural network;
suspended sediment;
optimization;
sediment load ... See more keywords
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Published in 2020 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-020-05148-4
Abstract: This work introduces an improved ant lion optimizer (ALO), called BIALO, for industrial images. BIALO employs three strategies to improve the performance of the original ALO. First, a novel inertial weight is used to modify…
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Keywords:
lion optimizer;
improved ant;
industrial image;
ant lion ... See more keywords
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Published in 2019 at "Energy"
DOI: 10.1016/j.energy.2018.10.153
Abstract: Abstract In this paper, an intelligent technique for EMS based on Recurrent Neural Network (RNN) with aid of Ant-Lion Optimizer (ALO) algorithm is presented to find energy scheduling in MG. The optimal operation programming of…
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Keywords:
neural network;
system;
lion optimizer;
ant lion ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2968943
Abstract: Ant Lion Optimizer (ALO) is a new meta-heuristic algorithm that simulates the ant lion predator mechanism in nature. Five main steps of hunting include: random walks of ants, building traps, trapping in antlion’s pits, sliding…
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Keywords:
lion optimizer;
ant lion;
spiral complex;
complex path ... See more keywords
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Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/4961045
Abstract: For lithium battery, which is widely utilized as energy storage system in electric vehicles (EVs), accurate estimating of the battery parameters and state of charge (SOC) has a significant effect on the prediction of energy…
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Keywords:
state charge;
estimation;
improved ant;
battery ... See more keywords
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Published in 2020 at "Bulletin of Electrical Engineering and Informatics"
DOI: 10.11591/eei.v9i1.1664
Abstract: This paper aims to propose a new meta-heuristic search algorithm, called Ant Lion Optimization (ALO). The ALO is a newly developed population-based search algorithm inspired hunting mechanism of ant lions. The proposed algorithm is presented…
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Keywords:
dynamic economic;
optimization;
ant lion;
economic emission ... See more keywords
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Published in 2020 at "EURASIP Journal on Image and Video Processing"
DOI: 10.1186/s13640-020-0491-y
Abstract: In view of the problem that the conventional tracker does not adapt to abrupt motion, we propose a tracking algorithm based on the hybrid extended ant lion optimizer with sine cosine algorithm (EALO-SCA) in this…
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Keywords:
motion;
sine cosine;
abrupt motion;
cosine algorithm ... See more keywords
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Published in 2022 at "Algorithms"
DOI: 10.3390/a15010019
Abstract: Parameter optimization in the field of control engineering has always been a research topic. This paper studies the parameter optimization of an active disturbance rejection controller. The parameter optimization problem in controller design can be…
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Keywords:
controller;
parameter optimization;
ant lion;
active disturbance ... See more keywords