A modified bats echolocation-based algorithm for solving constrained optimisation problems

Yahya, Nafrizuan Mat; Tokhi, M. O.

doi:10.1504/ijbic.2017.085335

Cited by 12 publications

(7 citation statements)

References 19 publications

(28 reference statements)

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“…journal.ump.edu.my/mekatronika ◄ MABSA is another method for optimizing mechanical engineering design issues. MABSA is introduced by Yahya and Tokhi [4] as an improvement to the Adaptive Bats Sonar Algorithm (ABSA) which being developed by Yahya et al, [5]. MABSA draws inspiration from the echolocation abilities exhibited by bats, which use sonar to locate the prey.…”

Section: Related Workmentioning

confidence: 99%

“…The task of finding a solution inside the possible zones delimited by limitations can often provide difficulties when employing a direct approach [6]. In order to tackle this matter, the creation of MABSA involves the redefinition of specific parts within ABSA and the reformulation of a significant component inside BSA.…”

Section: Related Workmentioning

confidence: 99%

“…The MABSA system will possess the ability to provide a solution that effectively fulfils all imposed constraints. The objective of MABSA is to effectively address and resolve optimisation problems that are subject to constraints [4].…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Application of Modified Adaptive Bats Sonar Algorithm with Doppler Effect and Levy Flight (MABSA-DELF) to Optimize Mechanical Engineering Problems

Ab Rahman,

Mat Yahya,

Amin

et al. 2023

MEKATRONIKA

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This paper describes the application of the Modified Adaptive Bats Sonar Algorithm with Doppler Effect and Levy Flight (MABSA-DELF) to mechanical engineering design optimization issues. MABSA-DELF is a new algorithm that employs Doppler Effect and Levy Flight theory to improve the position of the transmitted bats’ beam. This project served as a showcase for the superior performance of MABSA-DELF. It was created using the MATLAB software’s computer simulation method. MABSA-DELF demonstrated a superior ability to solve engineering design problems in the fields of business, mechanical/manufacturing engineering, and electrical engineering. MABSA-DELF’s result are compared to those of other established algorithms.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Application of Modified Adaptive Bats Sonar Algorithm with Doppler Effect and Levy Flight (MABSA-DELF) to Optimize Mechanical Engineering Problems

Ab Rahman,

Mat Yahya,

Amin

et al. 2023

MEKATRONIKA

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“…The UAV path planning problem is a constrained optimization problem [31] that involves the calculation of UAVs waypoints at discrete time instants. The optimal trajectory is generated by minimizing the trace of the CRLB, which is analyzed in Section 3.…”

Section: Uav Path Optimizationmentioning

confidence: 99%

Optimal Configuration and Path Planning for UAV Swarms Using a Novel Localization Approach

Wang

Bai

et al. 2018

Applied Sciences

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In localization estimation systems, it is well known that the sensor-emitter geometry can seriously impact the accuracy of the location estimate. In this paper, time-difference-of-arrival (TDOA) localization is applied to locate the emitter using unmanned aerial vehicle (UAV) swarms equipped with TDOA-based sensors. Different from existing studies where the variance of measurement noises is assumed to be independent and changeless, we consider a more realistic model where the variance is sensor-emitter distance-dependent. First, the measurements model and variance model based on signal-to-noise ratio (SNR) are considered. Then the Cramer-Rao low bound (CRLB) is calculated and the optimal configuration is analyzed via the distance rule and angle rule. The sensor management problem of optimizing UAVs trajectories is studied by generating a sequence of waypoints based on CRLB. Simulation results show that path optimization enhances the localization accuracy and stability.

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“…In 2010, University of Cambridge scholar YANG proposed a new intelligent optimization algorithm, the bat algorithm (BA), by simulating the echolocation behavior of bats [39][40][41][42]. The algorithm is a population-based stochastic optimization algorithm of which bat individuals are the basic units.…”

Section: Introductionmentioning

confidence: 99%

Optimal LEACH Protocol with Improved Bat Algorithm in Wireless Sensor Networks

2019

KSII TIIS

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A low-energy adaptive clustering hierarchy (LEACH) protocol is a low-power adaptive cluster routing protocol which was proposed by MIT's Chandrakasan for sensor networks. In the LEACH protocol, the selection mode of cluster-head nodes is a random selection of cycles, which may result in uneven distribution of nodal energy and reduce the lifetime of the entire network. Hence, we propose a new selection method to enhance the lifetime of network, in this selection function, the energy consumed between nodes in the clusters and the power consumed by the transfer between the cluster head and the base station are considered at the same time. Meanwhile, the improved FTBA algorithm integrating the curve strategy is proposed to enhance local and global search capabilities. Then we combine the improved BA with LEACH, and use the intelligent algorithm to select the cluster head. Experiment results show that the improved BA has stronger optimization ability than other optimization algorithms, which the method we proposed (FTBA-TC-LEACH) is superior than the LEACH and LEACH with standard BA (SBA-LEACH). The FTBA-TC-LEACH can obviously reduce network energy consumption and enhance the lifetime of wireless sensor networks (WSNs).

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A modified bats echolocation-based algorithm for solving constrained optimisation problems

Cited by 12 publications

References 19 publications

Application of Modified Adaptive Bats Sonar Algorithm with Doppler Effect and Levy Flight (MABSA-DELF) to Optimize Mechanical Engineering Problems

Application of Modified Adaptive Bats Sonar Algorithm with Doppler Effect and Levy Flight (MABSA-DELF) to Optimize Mechanical Engineering Problems

Optimal Configuration and Path Planning for UAV Swarms Using a Novel Localization Approach

Optimal LEACH Protocol with Improved Bat Algorithm in Wireless Sensor Networks

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