A novel modified bat algorithm hybridizing by differential evolution algorithm

Yildizdan, Gülnur; Baykan, Ömer Kaan

doi:10.1016/j.eswa.2019.112949

Cited by 78 publications

(37 citation statements)

References 24 publications

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“…However, when solving complex multi-extremum optimization problems, the standard bat algorithm has some problems such as slow convergence speed, low solution quality and easy to fall into local optimum. Many scholars have improved bat optimization algorithm and achieved some fruits [29], [30], nevertheless, these improved bat optimization algorithms still have the problems of low solution quality and easy to fall into local optimum. To further improve the quality of the algorithm, a hybrid improved bat optimization algorithm (HIBA) is proposed by introducing combinational mutation operator into the improved bat optimization algorithm.…”

Section: Hiba For Estimating Oecsmentioning

confidence: 99%

A Method for Estimating Output Elasticity of Input Factors in Cobb-Douglas Production Function and Measuring Agricultural Technological Progress

et al. 2021

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When using the Cobb-Douglas (C-D) production function to measure the contribution rate of agricultural technological progress (ATP), it is necessary to estimate the output elasticity coefficient (OEC) of each input factor in C-D production function. For this purpose, it is usually necessary to take logarithm at both sides of C-D production function and convert it into a linear function, and then use regression analysis method to estimate the OECs of input factors. However, there are some problems in this method remains unsolved: first, the OECs estimated by taking logarithm of C-D production function are not the optimal estimation of the original C-D production function; second, the regression results sometimes fail to pass statistical test; third, some OECs cannot be guaranteed to be non-negative. Aiming at resolving these problems, a method for estimating OECs in C-D production function based on the Hybrid Improved Bat Optimization Algorithm (HIBA) was proposed. This method solves the problems existing in the OEC estimation methods in the existing literatures. To verify the effectiveness of the proposed method in this study, the OECs of input factors in China' Sichuan Province from 1996 to 2018 was estimated. The estimation results show that, compared with other estimation methods in the existing literatures, the proposed method can not only guarantee that it is the optimal estimation of the OECs in the original C-D production function, but also ensure that the OECs are non-negative and with high precision and good fitting effect. Finally, based on the estimation results, this study measured and analyzed the contribution rate of agricultural input factors and ATP of Sichuan Province and puts forward corresponding suggestions for the agricultural development in this region. INDEX TERMS Cobb-Douglas production function, output elasticity, contribution rate of agricultural technological progress, hybrid improved bat optimization algorithmThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.

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Section: Hiba For Estimating Oecsmentioning

confidence: 99%

A Method for Estimating Output Elasticity of Input Factors in Cobb-Douglas Production Function and Measuring Agricultural Technological Progress

et al. 2021

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“…Just like particles in PSO, also bats in the algorithm have velocity and position and they are updated using the Eq. (8-10) [35,36].…”

Section: Bat Algorithm (Ba)mentioning

confidence: 99%

Multi-Focus Image Fusion with Multi-Scale Transform Optimized by Metaheuristic Algorithms

Abas¹,

Baykan²

2021

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Focus is limited and singular in many image capture devices. Therefore, different focused objects at different distances are obtained in a single image taken. Image fusion can be defined as the acquisition of multiple focused objects in a single image by combining important information from two or more images into a single image. In this paper, a new multi-focus image fusion method based on Bat Algorithm (BA) is presented in a Multi-Scale Transform (MST) to overcome limitations of standard MST Transform. Firstly, a specific MST (Laplacian Pyramid or Curvelet Transform) is performed on the two source images to obtain their low-pass and high-pass bands. Secondly, optimization algorithms were used to find out optimal weights for coefficients in low-pass bands to improve the accuracy of the fusion image and finally the fused multi-focus image is reconstructed by the inverse MST. The experimental results are compared with different methods using reference and non-reference evaluation metrics to evaluate the performance of image fusion methods.

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“…Compared with the random distribution of all points during initialization [24], in the first iteration, all bat individuals are more likely to search in a better direction.…”

Section: Initialize Population Individualsmentioning

confidence: 99%

Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Improved Hybrid Bat Algorithm

et al. 2020

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To solve problems of low positioning accuracy and long time-consuming in indoor visible light three-dimensional positioning system, a visible light three-dimensional positioning method based on the improved hybrid bat algorithm (IHBA) is proposed in this paper. Firstly, some beacon points are set at the beginning of the IHBA to reduce the number of iterations. Secondly, weight coefficient is defined to improve positioning accuracy when the fitness function is constructed. Thirdly, aiming at controlling the search speed reasonably, an adaptive search factor is introduced while the bat individual update formula is designed. Finally, the chaotic perturbation operation is used to avoid the algorithm falling into local optimum. In indoor simulation environment, the size of which is 5m×5m×3m, the average positioning error of the IHBA is 1.16cm and the positioning time is 1.85s. To verify the actual effectiveness of IHBA, a receiver is placed in the experimental environment, the size of which is 1.5m×1.2m×2m. Through the optical power detected by the receiver, the processor calculate its coordinates with IHBA. The average positioning error of the IHBA is 3.64cm and the positioning time is 0.89s. In this paper, the three-dimensional positioning system based on the IHBA algorithm can achieve high-precision and low-time positioning, and it has practical application value in existing indoor positioning methods.

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A novel modified bat algorithm hybridizing by differential evolution algorithm

Cited by 78 publications

References 24 publications

A Method for Estimating Output Elasticity of Input Factors in Cobb-Douglas Production Function and Measuring Agricultural Technological Progress

A Method for Estimating Output Elasticity of Input Factors in Cobb-Douglas Production Function and Measuring Agricultural Technological Progress

Multi-Focus Image Fusion with Multi-Scale Transform Optimized by Metaheuristic Algorithms

Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Improved Hybrid Bat Algorithm

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