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Published in 2019 at "Engineering with Computers"
DOI: 10.1007/s00366-019-00882-2
Abstract: The advent of new data-mining techniques and, more recently, swarm-based optimization algorithms have antiquated traditional models in the field of energy performance analysis. This paper investigates the potential of two state-of-the-art hybrid methods, namely grasshopper…
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Keywords:
wolf optimization;
grasshopper optimization;
area;
optimization ... See more keywords
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Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3424-2
Abstract: This paper proposes a new hybrid stochastic training algorithm using the recently proposed grasshopper optimization algorithm (GOA) for multilayer perceptrons (MLPs) neural networks. The GOA algorithm is an emerging technique with a high potential in…
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Keywords:
optimization;
hybrid multilayer;
efficient hybrid;
grasshopper optimization ... See more keywords
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Published in 2017 at "Applied Intelligence"
DOI: 10.1007/s10489-017-1019-8
Abstract: This work proposes a new multi-objective algorithm inspired from the navigation of grass hopper swarms in nature. A mathematical model is first employed to model the interaction of individuals in the swam including attraction force,…
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Keywords:
algorithm multi;
multi objective;
grasshopper optimization;
objective optimization ... See more keywords
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Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.12.374
Abstract: Abstract In GPS/INS integrated navigation, Kalman filter is usually used for data fusion between GPS and INS. The filtering algorithm of integrated navigation is related to whether the advantages of each sensor in the integrated…
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Keywords:
algorithm;
grasshopper optimization;
integrated navigation;
gps ins ... See more keywords
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Published in 2019 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2019.11.007
Abstract: Abstract The grasshopper optimization algorithm is one of the recently population-based optimization techniques inspired by the behaviours of grasshoppers in nature. It is an efficient optimization algorithm and since demonstrates excellent performance in solving continuous…
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Keywords:
feature selection;
feature;
grasshopper optimization;
optimization ... See more keywords
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Published in 2021 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2021.03.008
Abstract: We proposes an improved grasshopper algorithm for global optimization problems. Grasshopper optimization algorithm (GOA) is a recently proposed meta-heuristic algorithm inspired by the swarming behavior of grasshoppers. The original GOA has some drawbacks, such as…
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Keywords:
optimization;
grasshopper optimization;
optimization algorithm;
algorithm global ... See more keywords
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Published in 2021 at "Journal of Renewable and Sustainable Energy"
DOI: 10.1063/5.0028591
Abstract: This article introduces a relatively current method named grasshopper optimization algorithm (GOA) for explaining power system based dynamic economic load dispatch (DELD) problem. However, like other optimization approaches, GOA suffers from premature convergence and a…
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Keywords:
wind;
oppositional based;
grasshopper optimization;
power ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3043029
Abstract: A novel algorithm for optimization in this article, called hybrid grasshopper optimization algorithm (GOA) with genetic algorithm (GA): hybrid-GOA-GA, is proposed for solving the system of non-linear equations (SNLEs). First, the SNLEs are converted into…
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Keywords:
optimization;
hybrid goa;
grasshopper optimization;
optimization algorithm ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3077616
Abstract: A new enhanced grasshopper optimization algorithm (GOA) has been developed and successfully applied to feature selection. GOA, as a heuristic algorithm, is proposed by simulating the living habits of grasshoppers in nature. Although GOA has…
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Keywords:
optimization;
motion mode;
grasshopper optimization;
optimization algorithm ... See more keywords
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Published in 2018 at "Modelling and Simulation in Engineering"
DOI: 10.1155/2018/4945157
Abstract: In recent years, metaheuristic algorithms have revolutionized the world with their better problem solving capacity. Any metaheuristic algorithm has two phases: exploration and exploitation. The ability of the algorithm to solve a difficult optimization problem…
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Keywords:
grasshopper optimization;
chaotic grasshopper;
enhanced chaotic;
optimization algorithms ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24060777
Abstract: The migration and predation of grasshoppers inspire the grasshopper optimization algorithm (GOA). It can be applied to practical problems. The binary grasshopper optimization algorithm (BGOA) is used for binary problems. To improve the algorithm’s exploration…
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Keywords:
optimization algorithm;
grasshopper optimization;
binary grasshopper;
optimization ... See more keywords