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Efficient beamforming using bat algorithm
2016 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), 2016Adaptive digital beamforming is widely used in modern radar and wireless communication systems. Evolutionary algorithms (EA) are powerful tools for more flexible adaptive beamforming. The major drawback of conventional evolutionary algorithms is generally slow in searching for solutions.
Qiang Yao, Yilong Lu
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Bat algorithm with inertia weight
2015 Chinese Automation Congress (CAC), 2015Bat algorithm is a novel swarm intelligent algorithm inspired by the echolocation behavior of bats. However, the exploitation capability is not well for some multi-model problems. In this paper, a new parameter, inertia weight is introduced to improve the local search capability.
Zhihua Cui +2 more
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A New Bat Based Back-Propagation (BAT-BP) Algorithm
2014Metaheuristic algorithm such as BAT algorithm is becoming a popular method in solving many hard optimization problems. This paper investigates the use of Bat algorithm in combination with Back-propagation neural network (BPNN) algorithm to solve the local minima problem in gradient descent trajectory and to increase the convergence rate.
Nazri Mohd. Nawi +2 more
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The Effect of Bat Population in Bat-BP Algorithm
2014A new metaheuristic based back-propagation algorithm known as Bat-BP is presented in this paper. The proposed Bat-BP algorithm successfully solves the problems like slow convergence to global minima and network stagnancy in back-propagation neural network (BPNN) algorithm. In this paper, the bat population is increased from 10 to 500 bats to detect the
Nazri Mohd. Nawi +2 more
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Cultural Bat Optimization Algorithm: An Improved Variant of Bat Algorithm
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON), 2022K. A. Amalo +2 more
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Bat Algorithm with Adaptive Speed
2019As a famous heuristic algorithm, bat algorithm (BA) simulates the behavior of bat echolocation, which has simple model, fast convergence and distributed characteristics. But it also has some defects like slow convergence and low optimizing accuracy. Facing the shortages above, an optimization bat algorithm based on adaptive speed strategy is proposed ...
Siqing You +3 more
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Clinical management of metastatic colorectal cancer in the era of precision medicine
Ca-A Cancer Journal for Clinicians, 2022, Davide Ciardiello, Giulia Martini
exaly
Nature-Inspired Computing: Bat Echolocation to BAT Algorithm
2022Astha Singh +2 more
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