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Enhanced convergence of Bat Algorithm based on dimensional and inertia weight factor
Journal of King Saud University: Computer and Information Sciences, 2019 Heuristic optimisation method typically hinges on the efficiency in exploitation and global diverse exploration. Previous research has shown that Bat Algorithm could provide a good exploration and exploitation of a solution. However, Bat Algorithm can be
M.R. Ramli +4 more
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A Modified Bat Algorithm with Conjugate Gradient Method for Global Optimization
International Journal of Mathematics and Mathematical Sciences, 2020 Metaheuristic algorithms are used to solve many optimization problems. Firefly algorithm, particle swarm improvement, harmonic search, and bat algorithm are used as search algorithms to find the optimal solution to the problem field.
Huda I. Ahmed +2 more
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Axioms, 2022 The traditional bistable stochastic resonance model has always had the drawback of being difficult when choosing accurate system parameters when a weak signal is enhanced.
Jie Xu +4 more
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An Improved Bat Algorithm with Grey Wolf Optimizer for Solving Continuous Optimization Problems [PDF]
Journal of Advances in Computer Engineering and Technology, 2020 Metaheuristic algorithms are used to solve NP-hard optimization problems. These algorithms have two main components, i.e. exploration and exploitation, and try to strike a balance between exploration and exploitation to achieve the best possible near ...
narges jafari +1 more
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IEEE Access, 2020 Clustering as an unsupervised learning method is a process of dividing a data object or observation object into a subset, that is to classify the data through observation learning instead of example learning without the guidance of the prior class label ...
L. F. Zhu +5 more
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Elektronika ir Elektrotechnika, 2014 Heuristic optimization algorithms which are inspired by nature have become very popular for solving real world problems recently. The use of these algorithms increases day by day in the literature because of their flexible structures and non-containing confusing mathematical terms. One of these algorithms is Bat Algorithm (BA).
KÜÇÜKSİLLE, Ecir Uğur +2 more
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Journal of Hydroinformatics, 2021 Dam deformation monitoring and prediction are crucial for evaluating the safety of reservoirs. There are several elements that influence dam deformation. However, the mixed effects of these elements are not always linear.
Youliang Chen +4 more
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CoRR, 2013 Swarm intelligence is a very powerful technique to be used for optimization purposes. In this paper we present a new swarm intelligence algorithm, based on the bat algorithm. The Bat algorithm is hybridized with differential evolution strategies.
Fister, Dušan +2 more
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International Journal of Advanced Robotic Systems, 2020 The present work deals with the design of intelligent path planning algorithms for a mobile robot in static and dynamic environments based on swarm intelligence optimization.
Fatin Hassan Ajeil +3 more
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A bat optimization algorithm with moderate orientation and perturbation of trend
Journal of Algorithms & Computational Technology, 2021 In order to improve the convergence speed and optimization accuracy of the bat algorithm, a bat optimization algorithm with moderate optimal orientation and random perturbation of trend is proposed. The algorithm introduces the nonlinear variation factor
Jingsen Liu +3 more
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