Bat algorithm and k-means techniques for classification performance improvement

Mohamed, Ramizi; Yusof, Munirah Mohd; Wahid, Noorhaniza; Murli, Norhanifah; Othman, Muhaini

doi:10.11591/ijeecs.v15.i3.pp1411-1418

Cited by 5 publications

(14 citation statements)

References 23 publications

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“…Hence, λi and fi can be used to adjust the velocity of the bats. Moreover, the value of fmin and fmax are set depending on user requirements (generally, the values are 0 and 1) [21][22][23].…”

Section: Pi Controllermentioning

confidence: 99%

“…The value of α and γ can be set with the same value between 0 to 1, for simplicity. In this paper bat position is described as the PI controller parameters [21][22][23]…”

Section: Pi Controllermentioning

confidence: 99%

“…To measure the controller performance, some indices can be used. Thypically, integral squared error (ISE) and integral absolute error (IAE) are used as the indices for assesing the system performance [23][24][25]. Furthermore, for assesing the system more comprehensive, a indices that also considering time in the calculation is designed.…”

Section: Appendix -Measuring System Performancementioning

confidence: 99%

“…To use the behavior of bats forInt J Elec & Comp Eng ISSN: 2088-8708  Design of spark ignition engine speed control using bat algorithm (Herlambang Setiadi)797 solving optimization problems, describing the bats activity via mathematical representation is crucial. The mathematical representation of bat position and velocity can be described as(7),(8) and(9) [21][22][23].…”

mentioning

confidence: 99%

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Design of spark ignition engine speed control using bat algorithm

Setiadi

Jones

Nugroho

et al. 2021

IJECE

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The most common problem in spark ignition engine is how to increase the speed performance. Commonly researchers used traditional mathematical approaches for designing speed controller of spark ignition engine. However, this solution may not be sufficient. Hence, it is important to design the speed controller using smart methods. This paper proposes a method for designing speed controller of a spark ignition engine using the bat algorithm (BA). The simulation is carried out using the MATLAB/SIMULINK environment. Time domain simulation is carried out to investigate the efficacy of the proposed method. From the simulation results, it is found that by designing speed controller of spark ignition engine using PI based bat algorithm, the speed performance of spark ignition engine can be enhanced both in no load condition and load condition compared to conventional PI controler.

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Section: Pi Controllermentioning

confidence: 99%

“…The value of α and γ can be set with the same value between 0 to 1, for simplicity. In this paper bat position is described as the PI controller parameters [21][22][23]…”

Section: Pi Controllermentioning

confidence: 99%

Section: Appendix -Measuring System Performancementioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Design of spark ignition engine speed control using bat algorithm

Setiadi

Jones

Nugroho

et al. 2021

IJECE

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show abstract

“…Image categorizing is one of a decent strategy in digital image preparing for land-cover information abstraction and utilizing the data holds in remotely sensed pictures. Wherever, the classes are recognized to a characterized topical class (water, trees, building without trees, buildings with trees, and bare lands) [3][4][5]. Satellite image categorizing is broadly utilized for extracting the spectral highlights from satellite images and analyze land-cover map of the area selected [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Categorizing and measurement satellite image processing of fire in the forest greece using remote sensing

Mohammed¹,

Khamees

2021

IJEECS

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This paper has been utilized satellite Sentinel-2A imagery, this satellite is a polar-orbiting, multispectral high-resolution to cover Athens city, Greece that located at latitude (37° 58′ 46″) N, (23° 42′ 58″) E.,the work aims to measurement and study the wildfires natural resourcesbefore and after fire break out that happenedin forests of Athens city in Greece for a year (2007, 2018) and analysis the damage caused by these wildfiresand their impact on environment and soil by categorize the satellite images for the interested region before and after wildfires for a year (2007) and a year (2018) and Discuss techniques that compute the area covered of each class and lessen or limit the rapidly spreading wildfires damage.The categorizing utilizing the moments with (K-Means) grouping algorithm in RS (remote sensing). And the categorizing results show five unique classes (water, trees, buildings without tree, buildings with tree, bare lands) where, it can be notice that the region secured by each class before and after wildfires and the changed pixels for all classes.The experimental resulted of categorizing technique shows that the good performance exactness with a good categorizing and result analysisa bout the harms resulted from the fires in the forest Greece for a years (2007 and 2018).

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Recent advances of bat-inspired algorithm, its versions and applications

Alyasseri

Alomari

Al-Betar

et al. 2022

Neural Comput & Applic

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Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in many problem domains. The ecosystem of bat animals inspires the main idea of BA. This review paper scanned and analysed the state-of-the-art researches investigated using BA from 2017 to 2021. BA has very impressive characteristics such as its easy-to-use, simple in concepts, flexible and adaptable, consistent, and sound and complete. It has strong operators that incorporate the natural selection principle through survival-of-the-fittest rule within the intensification step attracted by local-best solution. Initially, the growth of the recent solid works published in Scopus indexed articles is summarized in terms of the number of BA-based Journal articles published per year, citations, top authors, work with BA, top institutions, and top countries. After that, the different versions of BA are highlighted to be in line with the complex nature of optimization problems such as binary, modified, hybridized, and multiobjective BA. The successful applications of BA are reviewed and summarized, such as electrical and power system, wireless and network system, environment and materials engineering, classification and clustering, structural and mechanical engineering, feature selection, image and signal processing, robotics, medical and healthcare, scheduling domain, and many others. The critical analysis of the limitations and shortcomings of BA is also mentioned. The open-source codes of BA code are given to build a wealthy BA review. Finally, the BA review is concluded, and the possible future directions for upcoming developments are suggested such as utilizing BA to serve in dynamic, robust, multiobjective, large-scaled optimization as well as improve BA performance by utilizing structure population, tuning parameters, memetic strategy, and selection mechanisms. The reader of this review will determine the best domains and applications used by BA and can justify their BA-related contributions.

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Bat algorithm and k-means techniques for classification performance improvement

Cited by 5 publications

References 23 publications

Design of spark ignition engine speed control using bat algorithm

Design of spark ignition engine speed control using bat algorithm

Categorizing and measurement satellite image processing of fire in the forest greece using remote sensing

Recent advances of bat-inspired algorithm, its versions and applications

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