Results 11 to 20 of about 71,942 (280)
Bat Q-learning Algorithm [PDF]
Jordanian Journal of Computers and Information Technology, 2017 Cooperative Q-learning approach allows multiple learners to learn independently then share their Q-values among each other using a Q-value sharing strategy. A main problem with this approach is that the solutions of the learners may not converge to optimality because the optimal Q-values may not be found.
Bilal Hashem Abed-alguni
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Path Planning for Mobile Robot Based on Improved Bat Algorithm. [PDF]
Sensors (Basel), 2021 Bat algorithm has disadvantages of slow convergence rate, low convergence precision and weak stability. In this paper, we designed an improved bat algorithm with a logarithmic decreasing strategy and Cauchy disturbance.
Yuan X, Yuan X, Wang X.
europepmc +2 more sources
The Journal of Engineering, 2021 This paper describes the path planning of an autonomous mobile robot using an advanced version of the swarm bat algorithm in a timeâvarying situation. The foremost objective of this present contribution is to acquire the shortest path between the initial
Fatin Hassan Ajeil +3 more
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Test Scheduling and Test Time Minimization of System-on-Chip Using Modified BAT Algorithm
IEEE Access, 2022 System-on-Chip (SoC) is a structure in which semiconductor components are integrated into a single die. As a result, testing time should be reduced to achieve a low cost for each chip.
Gokul Chandrasekaran +5 more
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An Improved BAT Algorithm Using Density-Based Clustering
Inteligencia Artificial, 2023 BAT algorithm is a nature-inspired metaheuristic algorithm that depends on the principle of the echolocation behavior of bats. However, the algorithm suffers from being stuck in the local optima early due to its poor exploration.
Samraa Al-Asadi, Safaa Al-Mamory
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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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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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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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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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